Data Solutions Architect Job Description
Data Solutions Architect Duties & Responsibilities
To write an effective data solutions architect job description, begin by listing detailed duties, responsibilities and expectations. We have included data solutions architect job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Solutions Architect Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Solutions Architect
List any licenses or certifications required by the position: AWS, CCIE, CCNP, TOGAF, ITIL, R&S, HPE, RHCSA, CCNA, CCDP
Education for Data Solutions Architect
Typically a job would require a certain level of education.
Employers hiring for the data solutions architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Associate Degree in Computer Science, Business, Engineering, Technical, Information Technology, Technology, Design, Management, Architecture, Intelligence
Skills for Data Solutions Architect
Desired skills for data solutions architect include:
Desired experience for data solutions architect includes:
Data Solutions Architect Examples
Data Solutions Architect Job Description
- Collaborate and Partner with Senior Platform Architect (SPA) on master data strategy, architecture standards, guidelines, processes, and expertise to consistently address strategic enterprise master data issues
- Communicate effectively with business partners and stakeholders to assess functional needs, design solution and assist in the identification of data information needs
- Integrate into project teams within the process/platform area, being proactive in understanding the overall business strategy, plans, and upcoming projects and shepherd project teams through the entire Architecture Management process
- Represent engineering and partner with Product Management in customer meetings to gather requirements, develop white papers
- Define requirements for data matching and merging rules, survivorship criteria and data stewardship workflows using the MDM tool
- Consults with business representatives and work with the Business Analyst to ensure understanding of the business requirements and future strategic direction of the business/function
- Able to adapt in a rapidly changing environment, a fast learner and self-starter
- The ability to clearly explain and justify ideas when faced with competing alternatives
- Collaborating with technologists and data scientists to set up test plans and use cases to evaluate new Hadoop-native technologies for ETL, visualization, data science, discovery
- This role is a resource with decent industry insight and technical design and development expertise in the Data Analytics
- Understanding of data modeling and use of modeling tools a plus, Erwin, AllFusion Data Modeler
- Extensive experience selling Data Center and Virtualization Technologies at the engineering level through the CxO level is required
- Excellent written and verbal communication, listening, negotiation and presentation skills are required
- 5 or more years of hands-on experience in working with Informatica MDM (Siperian) suite and 1 year in Product Information Management (PIM)
- Must have good understanding of Master Data Management (MDM) and Product Information Management (PIM) architectures and business processes, SOA, Data integration, Data Quality, data architecture
- Experience in integrating external business application with Informatica (MDM / PIM ) using middleware, Batch process, SIF and message queues a significant advantage including experience in integrating data quality tools Trillium , Informatica MDM
Data Solutions Architect Job Description
- Provide timely and technically appropriate written communication to stakeholders (PM Business, project team, ) when necessary
- Developing deep knowledge of lab offerings and custom design approaches, guiding design and delivery tailored to clients
- Demonstrating strong facilitation and presentation skills, including the ability to understand and address client challenges and draw out key talking points
- Managing the coordination and execution of lab design, lab day, post work and ongoing activities, which includes leading pre-planning calls
- Support the definition of and implements enterprise wide data standards
- Defines and refines data standards and reference architectures for use by specific project teams in developing technical designs
- Designs conceptual, logical, and physical data models to support the data warehouse
- Participate in the translation of business requirements and models into feasible and acceptable data warehouse and business intelligence solutions
- Design and develop a technical architecture for implementation of the data warehouse and creation of business intelligence solutions
- Works closely with Enterprise Data Warehouse Architect and other Solution Architects to ensure solutions align to vision and strategy
- Industry designation would be an asset
- Big Data, Data Modeling (OLTP, OLAP), Distributed Data Storage, Synchronisation, DWH, Data Mart, BI/Reports, Complex Event Processing, Data Staging, Map Reduce, Deployment in Cloud, Non-Functional Requirements, Data Quality Issues, Kimball, Best Practices, Enterprise Level Understanding of Data Layer, Open Source Products
- Minimum seven years Data Architecture experience leading efforts to improve and restructure data structures
- Minimum five years performing requirement gathering, assessment, gap analysis, maturity assessment and validation of Data Management Capabilities
- Minimum five years developing Enterprise Data Management Strategies including Master Data Management, Metadata Management, Data Quality, Data Governance, and Data Architecture
- Minimum five years experience with MDM tools such as IBM InfoSphere and an aptitude to understand the data and associate business rules for each of the MDM domains
Data Solutions Architect Job Description
- Guides team of developers in solution development
- Perform analysis that will result in recommendations for and aid in data cleanup
- Document the data model, create a data dictionary, define column and data relationships
- Identify, document and resolve bugs, defects and issues while in the development of and resulting from their data model
- Facilitate knowledge transfer of the developed data model to the resources identified by MMS
- Identify training shortfalls and collaborate with MMS resources providing training recommendations
- Work with report development resources to recommend most optimal method of report development
- Communicate with and deliver presentations to appropriate resources, technology and product team members on analysis results
- Perform ETL development work during iterations
- Perform operational and project tasks related to Production Support activities as needed
- Developing and implementing enterprise data architecture frameworks including standards, processes, guidelines
- Performing requirement gathering, assessment, gap analysis, maturity assessment and validation of data management capabilities and developing enterprise data management strategies and operating models including master data management, metadata management, data quality, data governance, and data architecture
- Developing and implementing enterprise Data Integration frameworks, including standards, processes, guidelines and procedures
- Technical and trusted advising to client's' senior management (CIO,CTO,CFO )
- Contribute to win sales pursuits focused on Data Insights solutions, leveraging solution accelerators as entry points
- Experince with Big Data technologies
Data Solutions Architect Job Description
- Overseeing the local architecture governance process that reviews and monitors the design of new solutions and ensures Mutual Fund technology solutions comply with enterprise technology policies and standards
- Will be the primary “hands on” contributor in building out VDMS’ Data Integration implementation
- Conduct virtual meetings with clients to understand customer requirements, collect data about customer environment and gather data needed to assist with product design
- Coordinate, develop and deliver Bills of Materials and configurations for client solutions with guidance from the Sales and Solutions Architect teams
- Conduct research on technical details and specifications to assist with RFP responses and customer inquiries
- Create high-level solution drawings (Visio)
- Create Statement of Work and Services Pricing Worksheet for basic designs such as Server Deployment, Storage Array and Virtualization
- Continually pursue knowledge on latest trends, product releases and vendor offerings
- You will be the Pre-Sales Data Center Architect for the Boston territory
- Focus on identifying opportunities within the Data Center environment
- Good organizational, decision-making, written, oral and interpersonal skills
- Ability to clearly present complex ideas and analyses to diverse audiences
- Ability to translate customer and business needs into technical requirements
- Demonstrated ability in implementing advanced analytic consulting engagements
- Advanced knowledge of programming in Data Science tools and data processing architecture
- Highly skilled in detailed quantitative and qualitative analysis and high-level strategy development
Data Solutions Architect Job Description
- Pursue and participate in teaming opportunities in both public and private sectors
- Work with our sales teams to raise awareness of practice strategy and offerings to drive revenues
- Works collaboratively with sales and engineers to provide our customers with 100% success and be a true advisor
- Will lead our Bids and Proposals initiatives as technical SME for Data Center opportunities
- Exceed revenue and gross profit goals
- Communicate with customers regarding NetApp, Cisco and VMWare technologies among others
- Present solutions at Trade Shows, customer speaking engagements
- Assist in the scoping and estimation of consulting engagements by working closely with service delivery managers and application and data integration partners
- Help start new projects, inform the implementation team of the project design, and monitor the technical progress of projects to ensure they conform to the overall solutions architecture
- A part of the job will be to support the implementation of Golden Gate and partitioning, and potentially be the main driver on the implementation of ODI
- A graduate degree in quantitative methods (data science, analytics, statistics, etc)
- Candidates must demonstrate their in-depth knowledge of technology trends and standards, both from a business and technical viewpoint
- At least two (2) years direct experience in MDM design, development, support and operations with a leading MDM tool suite
- Experience with enterprise level data analysis and integration work and/or providing data focused systems integration solutions with specific knowledge of Salesforce data structures
- Experience with enterprise service bus tools, specifically Mulesoft and Salesforce data loader
- Expert level of technical knowledge on data architecture and data integration