Data Architect

Data Architect

Agreeya Solutions India Private Limited
Not Specified
Not Specified

Job Description


Job Description
Role/Project Description
  • Minimum Position Qualifications
  • Bachelor's Degree in computer science or related scientific discipline.
  • 10 plus years of experience designing large scale data models for functional, operational and analytical environments (Conceptual, Logical, Physical & Dimensional)
  • 7 plus years experience in several of the following disciplines: statistical methods, data modeling, ontology development, semantic graph construction and linked data, relational schema design.
  • Demonstrated SQL and data modeling proficiency.
  • Experience with data modeling tools such as, ER*Studio and Erwin or TOAD
  • Experience in one or more cloud-based data solutions.
  • Experience with security models and development on large data sets
  • Experience with multiple database technologies
  • Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models)
  • Experience with Agile Development, CI/CD, Jenkins, Github, Automation platforms
  • Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.
  • Demonstrated ability to communicate with a geographically dispersed group of business and technical colleagues
  • Ability to review and provide practical recommendations on design patterns, performance considerations, database versions, and database deployment strategies
  • Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence

Key Objectives/Deliverables
  • Develop and provide expertise in enterprise data domains this includes data relationships, data quality, understanding of business data needs and the associated technology toolsets and methodologies.
  • Develop understanding how the enterprise data strategies, platforms, and technologies enable business execution. Use this knowledge to appropriately challenge status quo and drive business-IT collaboration.
  • Analyze data from multiple domains Client trends and associations, synthe new integration constructs that assist non-expert users to find similar trends and associations.
  • Facilitate efficient and scalable data exchange using industry standards and data integration methodologies.
  • Use cutting edge information technologies to organize and analyze data
  • Extend publicly available data sets, ontologies and taxonomies for internal use.
  • Continuously scan the technology environment for new trends and techniques interface with external consultants and thought leaders as needed.
  • Synthe new scalable approaches for data integration derive the supporting arguments, communicate and articulate the reasons for the new approaches to fellow engineers as well as senior management.
Additional Preferences :
CDMP Certification
Previous health care experience
Experience:
Job Location:
Mandatory Skills:
Good to Have Skills:
Certifications Required if any:

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