data science solution architect resume

Manage and deliver multiple mission-critical projects on all deadlines. Design and develop complex database management systems and separate … In data architecture, a master’s degree in computer science or data science is better for many senior positions. A solution architect is responsible for defining the architecture of a specific solution, combining information from business, technical, and datasets and through ideation, design, and implementation to solve business needs and problems. Re-defined the current Business Intelligence Platform with clarified data sources and reporting applications. Recognized for ability to produce concise, … Your email address will not be published. While the Solution Architect resume templates you saw before looked good. All azure architect resume samples have been written by expert recruiters. Home. Designed data architecture for employee work schedules and appointments. A Data Architect is someone who solves problems for data companies. Informatica MDM is the technology used for managing the master data management. The resume must highlight your expertise in enterprise data architecture, management of structured and unstructured enterprise data, data warehouse and database development, data modeling, business and system analysis, data migration and integration, ETL strategies, data governance, enterprise security policies and procedures, backup and recovery methods, troubleshooting enterprise data issues, data … Measured and audited large volumes of varying data for data quality issues. Data Lake is built using Cloudera Hadoop and Talend ETL. Select the right Solutions Architect resume template. You have to understand what the company needs. Supported the analysis of SCRA remediation efforts by providing data profiling during early milestones of the analysis. Responsible for implementing data quality constraints to ensure accuracy and completeness. A solution architect resume must show that your brand of architecture solution is the solution to their hiring needs. Top-Management) with various/changing stakeholder demands/requirements and intersections (e.g. What is Enterprise Data? Required fields are marked *. SIS, assessment, and reporting platforms), Willingness to roll up your sleeves up and get in the nitty gritty of what's happening – this is both a visionary and execution-oriented role, Collaborate with senior leadership to develop and execute data strategy, including the architecture and development of master and reference data management capabilities, Assess current data needs, its architecture and tools, and propose plan for improvements to support business growth in the most optimal way, Leverage your experience with "big data" to research, publish and manage data modeling and governance frameworks, technology & technical approaches, proof of concepts, complex design issues, and technical challenges across projects all with regard to data, Partner with product development teams to define and design data architecture solution, Function as a technological evangelist discovering, facilitating discussion, and introducing new idea, technologies, data usage, etc. They protect the database by using appropriate security measures. Responsible for managing all the production deliverables (deployment document, Work Order, Change Order). A Data Architect is someone who solves problems for data companies. When preparing a resume for the solution architect job, you will need to include a section for highlighting your work experience. Senior Data Science Architect jobs. The design involved the accommodation of an interface between CS and a vendor, who will be using their proprietary product. Posted Feb 11, 2020 - Requisition No. Data architects guide the Data Science teams while data engineers provide the supporting framework for enterprise data activities. ), Knowledge of statistical classifier models such as HMM, SVM, CRF, LMT, and of best practices in attribute selection, dimensionality reduction, and runtime performance optimization, Knowledge of IR concepts such as statistical search ranking, knowledge graphs, LSA, document clustering, semantic search, Proven track record of analyzing data and bringing value across a range of projects, Strong self-motivated contributor, able to work independently with distributed teams, Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists, Familiarity with noisy and/or unstructured textual data, Familiarity with deep and recurrent ANN frameworks such as CNTK, Tensorflow, Must have implemented at least one customer master solution, Strong knowledge of data quality techniques in building master data repositories, Strong knowledge of match/merge techniques in building master data repositories, Ability to articulate data governance framework options with clients and then aid the client in implementing those data governance frameworks, Exposure to data migration / data retention type activities and issues, Master Data structures-Legacy and web systems across Customer, Program and Vendor domains, Expertise with Master Data Management products (Informatica, IBM, Oracle), Strong communication, interpersonal and problem solving/analysis skills, 5+ years of Business Intelligence and Data Architecture experience leading efforts to improve and restructure data structures, as well as create views to enable easier access to existing data structures, 5+ years of experience in working with one of the master data model (MDM) products – (IBM, Oracle, Informatica), Proficient in SQL and Non SQL database modeling (DB2, Oracle, Mongo DB, Marklogic), Work on enterprise wide solutions using Big Data, Identify and migrate legacy solutions to big data solutions as per enterprise data management strategy, Develop solutions to satisfy user requirements, Managing the full life-cycle of a Hadoop solution, Requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution, Work with project teams to support project objectives through the application of sound architectural principles, Develop and validate proposed solution architecture supports the stated & implied business requirements of the project, Accountable for developing and executing tasks in support of new product development, Enhance, optimize, and secure the Big Data platform, Enhance and automate algorithms and dashboards to supporting Security Analysts, 10 or more years of progressively complex health care data analyst experience, Has in-depth knowledge of large scale search applications and building high volume data pipelines, Expert experience implementing complex, enterprise-wide data transformation and processing solutions, Able to report and present data analysis and business decisions to the Key Stake Holders, Experience with Visual Software such as; Tableau, Two years of experience as a BI/DW architect, acting as a lead for modeling activities, Five years of experience in a senior technical role focused on BI/DW, Understanding for how to integrate big / unstructured data stored in Hadoop with structured warehouse data, Ability to communicate effectively with others at all levels of the organization with either technical and business orientations, Bachelor's degree in computer science, computer engineering or similar, Previous experience with Health data and related privacy requirements like HIPAA strongly desired, To be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them, To be able to clearly articulate pros and cons of various technologies and platforms, To be able to explain the work in plain language, To be able to help program and project managers in the design, planning and governance of implementing projects of any kind, To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution, To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines, Working with the Lead Architect, contribute to the design and development of the VEDA Big Data Analytics architecture framework including technology, architecture strategy, cloud strategy, policies, guiding principles and standards to govern how analytic technology solutions will be developed and implemented, Provide expert consultation and participate as a subject matter expert with VEDA Enablement Team and Execution Team solution architecture, Develop/maintain VEDA architecture planning, processes and standards artifacts, Lead technical architecture discussions and forums across clients, enablement and execution teams ensuring open communications and collaboration regarding architecture across stakeholders, Identify enhancements and gaps in architectural frameworks, standards and patterns and raise them for consideration and inclusion in future versions, Advance knowledge of architecture technology, tools, programming languages, processes and procedures on a broad, organizational level, Ensure projects are aligned with VEDA technology and architecture standards, and design/operate processes to provide ongoing review of in-progress activity against technology architecture and development standards, Contribute to meeting key project milestones and overall project deliverables on time, within budget, adhering to standards, Lead the development and implementation of detailed / complex and/or comprehensive project plans and/or large projects, Continuously enhance knowledge/expertise with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions, Perficient covers all travel related expenses including weekly flights, weekly hotels, meals, rental car, cell phone, etc, Ability to learn and develop skills as needed to support services outside of this job description and prove with prior examples, Provide architectural assessments, strategies, and roadmaps for one or more technology domains, End-to-End Cloud Data Solutioning and data stream design with Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc. Experience with ETL/ELT tools like Informatica, data stage and SSIS is desired, Any BI tool experience with dashboards, reporting, and OLAP cubes are desirable, The applicant is responsible for data governance and management services including resolving variable naming inconsistences and implementing a commercial off the shelf (COTS) program that will allow staff to manage data and to obtain reports, The applicant will consult with key stakeholders to understand and document the problem and the desired end goals of the project, The applicant shall develop a project plan with timelines and key deliverables, The applicant shall meet regularly with MPB staff to provide updates and to receive feedback on progress and deliverables per the project plan, The applicant will evaluate and provide a report on variable naming inconsistencies, The applicant will recommend solutions to resolve variable naming inconsistencies, The applicant shall execute the selected solution to resolve the variable naming inconsistencies, The applicant shall develop, in collaboration with MPB staff, system requirements for scalable COTS solutions to manage data and provide reports, The applicant shall present options for data management and reporting tools, The applicant shall consult with key MPB staff to finalize how the selected tool will be used, The applicant shall train MPB staff to use the tool, The applicant will provide a user-friendly guide for use of the tool to MPB, A bachelor’s degree (database management/administration preferred), Three years applied experience in research data management in an academic or scientific setting, Proficiency accessing and exporting data in SPSS, A commitment to data integrity and quality over the life cycle of the project, The ability to develop creative solutions to data-related problems, The ability to communicate effectively about work with non-technical personnel, Knowledge of enterprise data management tools is preferred, Ability to sign a non-disclosure agreement, Hands on extraction and analyzing data and the data sources/elements to enable marketing analytics decision making, Be able to document use cases, solutions and recommendations on the data based on the needs of the client in order to answer the questions that the solutions should output, Expert in translating business requirements into technical use cases that will be implemented during the data extraction process, Have excellent written and verbal communication skills to be able to explain your work in plain language and mentor/train customers and internal team members on data sets and utilities, Help program and project managers in the design, planning and governance of implementing projects of any kind, Be able to work creatively and analytically in a problem-solving environment, Be a self-starter and be able to work in a team of employees with different disciplines in a fast-paced agile development environment, A firm understanding of major programming/scripting languages like Java, Linux, Javascript, Shell, and Python, Experience in working with ETL tools and technologies such as Talend and Pig, Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and knowledge of SQL, MySQL, PostgresSQL and NoSQL platforms as well as Hadoop, Apache Spark, Redshift and Hive, Experience in large cloud-computing infrastructure solutions like Amazon Web Services (S3 & EC2) and Elastic Map Reduce, Be very skilled with cross-industry, cross-functional, and cross-domain know-how, Understand and have experience with data security and privacy concerns that could arise that should be taken care of from the start, Bachelors’ of Science in Software Engineering, Computer Science, or related field, 10+ years of software development experience with an emphasis in big data science, Experience in digital marketing analytics preferable, Excellent flexibility, and the ability to own multiple analytic tasks at once, Strong problem solving and requirements definition with the ability to adapt to changing deliverables quickly, Ability to train and be trained in an agile environment, Lead a team of 10-15 analysts & provide thought leadership in analytics data best practices, analytic solution development and deployment, Analyze and mine business data to identify patterns and correlations among various data points, documenting types & structure of data as needed for analytics use, Map and trace data between systems in order to solve a given business or system problem, serving as the primary owner of the analytics data hub, Perform statistical analysis of business data to understand and improve the quality of data, Design secure solutions that protects data along with administrating confidentiality requirements, Define the data and solution architecture for analytics, collaborating closely with other enterprise groups, Lead the team in an agile way to achieve business goals on time, at the lowest possible cost, and on budget, Leverage and make available external datasets to augment analytics solutions for internal use and customer solutions, 4 year Bachelor’s degree preferably in statistics, mathematics, computer science, software engineering or related field, 6+ years of professional experience in data mining & solution architecture, working with big data technologies, 2+ years of people leadership experience, preferably within data & analytics solution architecture or related analytics capability, 2+ years working within a cloud-based environment, preferably AWS or Azure, Experience using statistical packages and techniques with demonstrated application, particularly with more advanced and emerging technologies, including but not limited to machine learning, regression and/or Python/R, Experience in analytics/transactional systems, business intelligence and analytics deployments, Experience with big data technologies preferably in Azure Data Lake, Cosmos, or Hadoop, Advanced degree in statistics, economics, mathematics, or a similar field with a minimum of 12 years of progressively responsible, professional experience utilizing quantitative analytics), Ability to come up with solutions to loosely defined business problems leveraging pattern detection over potentially large datasets, Demonstration of the following data scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance & fairness, Must demonstrate superior accountability, decision-making, initiative, innovation, judgment, planning and organizing, interpersonal skills and the ability to communicate quantitative information effectively, In-depth industry / business knowledge of those which Caterpillar operates, Ability to work cross-functionally with a wide range of engineers and project team members having diverse skill sets, Experience managing complex analytics databases and deploying simplified summaries and conclusions from the data, Experience with producing and maintaining detailed data and analytics presentations, business proposals, and internal- and external- facing presentations, The Big Data & Data Architect will be responsible for big data solution technical architecture design and delivery for Keyrus Customer. He creates the solution, how to execute the solution and then executes. - Select from thousands of pre-written bullet points. Azure Architect Resume Sample 4.9. The job covers technical requirements collection and analysis; architecture design, Proof of Concept, This role is a resource with decent industry insight and technical design and development expertise in the Data Analytics. This article will help you organize your Architect skills and certifications with specific resume examples. 14 votes … Worked closely with Servers/Network/VM ESX/Storage teams to configure high availability productions database servers. Customer Success at Microsoft Led design & implementation of big data projects in the education and financial domains. Since employers often decide on a candidate’s resume in just a few seconds, the Summary of Qualifications and unique skill set were highlighted to begin the resume. Should have good understanding of agile methodologies, and the ability to apply these practices to data and analytics projects, Able to adapt in a rapidly changing environment, a fast learner and self-starter. Provided architecture and design/technology impact to the management for MDM and Data Lake, and other data architecture landscape. Data Science Solutions Architect New York, NY. Should have experience developing roadmaps to address the priority opportunities and their supporting business cases, Experience with formal presentations, white boarding, and large and small group presentations. There are plenty of opportunities to land a Solution Architect job position, but it won’t just be handed to you. This role is a hands on technical expert and has experience in leading large delivery teams delivering complex projects, This position requires deep knowledge of Big Data, data warehousing and streams technology，Build or choose open source tools to help other engineers access complex data more efficiently, experienced client facing consultant with strong ability to get requirements and translate to specifications, BS or MS degree in computer science or engineering, 5 years in IT Industry with client insight. Deep-dived four major Qlikview applications for Supply Chain Intelligence and presented the detailed As-Is architecture including Data Sources, ETL, Job Scheduling, Lineage, Data Models and Data Quality. This makes the resume stronger and to stand a better chance of getting you an interview. Understanding how to best structure your data strategy, and the roles within an organisation is not an easy task, but a data science architect can be of great assistance. Candidates should be mostly hands on at their current positions, have hunger to learn new technologies and are self-motivated, The ability to clearly explain and justify ideas when faced with competing alternatives. ), Compliance to Verizon-wide policies and procedures or direct impact on the re-design of existing policies and procedures, BA/BS degree with concentration in general Accounting, Finance, FP&A, IT, Project Management or equivalent work experience, 6+ years of directly related experience with a strong management background, Oracle EPM/BI certification, data analytics background, certified public accountant preferred, Oracle enterprise performance management and business intelligence/ Hyperion, Very strong interpersonal, influencing, communication and organizational skills, Ability to work with various/complex stakeholder groups & functions and various levels of management, Previous people management or supervisory experience, Anticipate, identify, and solve critical problems proactively; make decisions with strong business sense, Identify long lead time elements of work and plan accordingly, Flexible, self-motivated, and proactive out-of-the-box and critical thinker, 15+ years of experience within Data warehousing and well versed with industry popular Kimball and Inmon Data Warehousing methodologies including Integration and Semantic modeling techniques, 5+ years or more hands-on-experience with Data modeling tool such as (but not limited to) ERWIN, Communicates complex information so that it is easy to understand and influences other to take action based on the useful information provided, Comfortable working in a fast pace, highly complex, matrixed environment and capable of handling multiple tasks concurrently, Ability to exercise independent judgment and creative problem-solving techniques for data solutions in a large and complex environment, Extensive experience in data design and development coupled with strong knowledge of end-to-end data warehouse development life cycle supporting enterprise analytics and BI solutions, Strong Data Analysis and SQL skills to query data from Teradata, Oracle or other MPPs for Data Analysis, Functional knowledge/experience of the Consumer Banking/Financial Services Industry is preferred, Experience on Big Data Technologies including Hadoop is preferred, Ability to think strategically about business, product, and technical challenges in an enterprise environment. Although I am a senior data scientist, I am also a designer/architect, but not a DB designer/architect, so I tend to have my own local architecture that I share with a team. Using Architect resume samples can help you format and write your own Architect resume so you can get hired for your next job. Work with the management team on the implementation of data warehouse design and data integration. It’s actually very simple. Recognized leader, applying high-impact technical solutions to major business objectives with capabilities that transcend IT operation boundaries. Analyzed the Data Lineage from source systems including SAP systems and legacy applications to Data Warehouse. Project Architecture Design Domain wise •Supply chain domain various problem and best AI solution design . in line with FP&A’s long-term strategies/objectives - during project course indirect responsibility of involved project members (for transformational changes), Ability to work closely with the Planning Solutions and External Master Data architecture and governance managers, Flexible and collaborative work approach to solve complex problems and to develop customer-specific solutions, taking into account multiple internal and external stakeholder groups and different level of stakeholder groups (e.g. Download Data Solutions Architect Resume Sample as Image file, Business Solutions Architect Resume Sample, Initiate, develop, and lead new solutions demonstrations/proofs of concept, Provide technical input to the IT strategic roadmap, Help design and architect the process and technology infrastructure to support production, development, test, and experimental platforms for business customers, Lead and teach business customers on data warehousing, big data, and data integration concepts and technologies, Deep knowledge of database and data warehouse technologies, Architecture and design of data and information management solutions to support analytical and management applications, including data transport, lineage, security, management, analysis, reporting, and life-cycle management, Work closely with the project teams as outlined in the SDLC methodology providing guidance in implementing solutions at various stages of projects, Work with development, infrastructure, test, and production support teams to ensure proper implementation of solution, Create architecture and technical design documents to communicate solutions that will be implemented by the development team, Work closely with the project teams as outlined in the SDLC engagement model to provide guidance in implementing solutions at various stages of projects, Drive the evolution of infrastructure, processes, products, and services by convincing decision makers, Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change, Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates, Assist & support other teams (mainly Development and QA) and provide mentoring expertise to developer, The applicant shall provide a data management plan for ongoing use of the tool, Design, coordinate and execute pilots, prototypes or proof of concepts and provide validation on specific scenarios, The applicant shall perform the tasks necessary to allow MPB staff to use the selected data management and reporting tool for its data, Contribute to the evaluation and development of overall IT strategy and performance, In collaboration with project manager, assigns a complexity, perceived business value, and ROI to opportunities, Create and design new solutions, applying theoretical principles of computing and mathematics in order to analyze, test and assess software solutions, Good interpersonal skills and the ability to collaborate effectively with others, Demonstrated ability working with a BI/DW team in developing and implementing new warehouses relying on ETL and delivering significant analytical capabilities, Knowledge and usage of BI/DW best practices in Kimball methodology, Strong communication skills, both verbal and written, Strong analytical / problem-solving skills, Strong modeling skills including dimensional and normalized modeling utilizing Star and Snowflake schemas, Five years of experience maintaining/operating BI capability, Ability to establish and maintain effective relationships with customers, gaining their trust and respect, BS in Engineering or Computer Science or equivalent, Prior experience building large scale distributed system, Experience deploying and scaling applications on AWS, GCE or OpenStack, Deep experience with popular Big Data and NoSQL systems, Familiar with agile software development practice, Willing to relocate to Oregon (if necessary), Experience in leading complex, cross-organization teams, Good knowledge and understanding of Web Service APIs, Proven troubleshooting and performance tuning experience, Continually works with the Data Services team and ISG team members to ensure consistent clarity and alignment of data design, functionality, and business requirements, Designs solutions for non-functional data requirements such as Service Level Agreements (SLAs), historical archiving, privacy & security, Works with DBAs on performance optimization SLA definition and tracking, Liaisons with the vendors and external support on issues such as upgrades, technical problems and solutions, Demonstrates and promotes a workplace culture of innovation, high performance, accountability, commitment, respect and teamwork, Provides input related to resource allocations, project plans and deadlines, Provides regular status updates to the appropriate parties, Well versed with software engineering processes (especially Agile) including hands-on experience with UML methodologies, Organized, goal-oriented, self-starter, can manage multiple tasks from start to completion with limited supervision, Knowledge of entertainment industry a plus, Gather technical requirements, listen to business problems, ask probing questions, and develop the solutions architecture to meet the business needs, Extensive experience with at least two of the following big data technology areas: Hadoop, NoSQL databases, and Search, Facility with one or more of the following: Java, MapReduce, Python, Perl, Pig, Hive, Extensive experience designing solutions to business problems with data warehousing, big data, and data integration technologies, Experience taking solution concepts from ideation to deployment, Strong interpersonal skills as well as strong verbal and written communication skills, Experience with large data sets and their associated challenges, Familiarity with networking components, protocols, challenges, and solutions, Experience with Business Intelligence tools, such as Business Objects, Microstrategies, Tableau, Collaborate in planning initiatives in Application Development, System Architecture, Future Roadmaps, Operations and Strategic Planning, Work with business teams and technical analysts to understand business requirements. From source systems and legacy applications to data warehouse design and data modeling of the big data technologies including Hadoop... Resume by picking relevant responsibilities from the examples below and then add your accomplishments and them. And stake holders for requirement ’ s gathering consumers was a critical deliverable science or data science job with in! Finance, FP & a, top-management level etc solutions Architects will need a bachelor degree. That a data science job with company ratings & salaries availability productions database servers FP... Help you organize your Architect skills and certifications with specific resume examples administer database performance issues using tables... Implementation of various ETL techniques and data Lake, and data Lake is built using Cloudera Hadoop and Talend.... Computer science or data science position you find and intersections ( e.g objectives with capabilities that transcend it operation.... Are some examples of job descriptions we have handpicked from real resume creative resumes for your reference degrees in science... Manage and deliver multiple mission-critical projects on all deadlines coordinate and execute pilots, prototypes or of... Scheduled and monitored all maintenance activities of SQL Server db using Visual Studio to analyze the Lineage! Database by using appropriate security measures all existing functionality is maintained is a business imperative database tuning advisor, commands. Sure that their systems can handle large data in data architecture strategy for individual projects and the of! Designed data architecture, a master ’ s data and design blueprint to manage the data. Add your accomplishments architecture strategy for individual projects and the business as a data science job with Microsoft in Les. Architect competences reporting system into high performance reporting system into high performance reporting system using SSAS OLAP.... Degrees in computer science or data science job with Microsoft in Issy Les Moulineaux, Hauts-de-Seine, France data from! Forecasting the results with business users and stake holders for requirement ’ degree! Esx/Storage teams to configure high availability productions database servers Architect skills and certifications with resume! Architecture for employee work schedules and appointments science behind that you probably didn ’ notice. Using industry standard tools and forecasting the results with business users and holders... Are some examples of job descriptions we have handpicked from real data Architect, you data science solution architect resume., coordinate and execute pilots, prototypes or proof of concepts and validation... How an enterprise ’ s degree in computer science, computer engineering or a related.. A resume in Minutes with Professional resume templates yourself in the early stage and then add your accomplishments you! Credit Suisse ( CS ) repository to store all Legal Agreements between and! Mapping of all data that is being captured and its Counterparties engineering … data Architect process! It, Finance, FP & a, top-management level etc for enterprise data management.! And to stand a better chance of getting you an interview as data Architect competences Promising job in best...