Data Architect (42125)

Position: Data Architect (42125)Location: REMOTEDescription:This engagement will support a Data Warehousing and Data Governance/Security initiative, in helping build Data Architecture chapter foundational capabilities. This project is an important enterprise-wide initiative to build a cloud based data warehouse using a metadata driven approach to reduce bespoke ETL and one off development efforts. Responsibilities:

• Work closely with cross functional stakeholders ranging from product owners to enterprise architects and platform teams.
• Create high-level design documents and detailed specifications, in accordance with company architecture standards.
• Support primarily Analytics initiatives but also operational where appropriate.

Deliverables:

• Develop / assist in creating, documenting, and gaining approvals for solution patterns
• Participate in technology proofs of concept
• Develop / assist in creating, documenting, and gaining approvals for architecture decision records
• Help develop the foundational capabilities of the data arch chapter
• Support some ‘Business as Usual (BAU)’ tasks
• Create or assist in creating architectural deliverables that will capture Conceptual & Physical (L1/L2) architecture views as creating supporting documentation
• Capture and document future use cases
• Actively review and contribute to rolling 24-month architecture roadmap

DataArchitect Data Modeling Tool, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Metadata, Data Warehousing, Cloud Computing, Information/Data Security (InfoSec), Enterprise Architecture, Cross-Functional, Design Document, * 5+ years of relevant hands-on data architecture experience

• 2+ years of relevant hands-on exposure to building data and analytics solutions on AWS
• 2+ years of ETL architecture experience (Ab Initio or cloud-native tools)
• Experience with Snowflake
• Experience with variety of databases e.g. Teradata, Oracle, Maria DB,
• Experience building architectural patterns at scale, including thoughtfully-designed data solutions, repeatable data pipelines, and efficient software engineering principles
• Sound understanding of CI/CD, infrastructure engineering and building future ready technology solutions
• Experience with building data warehouses, marts, business intelligence reports and operational systems