Data Architect – Full Time Role

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Infojini
United States (Remote)
  • Construction
  • FullTime
  • Applications have closed

Role: Data Architect

Location: Remote USA

Domain Needed: Insurance

Duration: Full Time Role (NO C2C/W2/C2H/1099)

Work Authorization: This role is not eligible for company sponsorship now or in future

Summary:

Seeking for a Data Architect who can design, standardize, and oversee enterprise-level data architecture for an insurance organization. This is not just a hands-on developer role-it’s strategic and governance-heavy, focusing on data models, standards, and platform recommendations.

Key Responsibilities

  • Architecture Ownership:

  • Take full responsibility for target architectures and medallion patterns (likely a layered data architecture approach: bronze/silver/gold layers).

  • Platform Standards & Recommendations:

  • Define and enforce standards on data platform design, naming conventions, technologies, and frameworks.

  • Data Governance & Taxonomy:

  • Define subject-area taxonomy (how data domains are organized).

  • Set up data contracts (rules for how data is shared/used).

  • Establish RBAC patterns (Role-Based Access Control).

  • Security & Observability:

  • Ensure data observability, security, and retention are built into designs (“by-design” approach).

  • Design Oversight:

  • Approve logical & physical data models , Source-to-Target mappings, and major design decisions.

  • Identity & Matching:

  • Design identity resolution and matching logic (both deterministic and fuzzy matching).

  • Performance & Cost Optimization:

  • Optimize data pipelines for performance, storage, and cost efficiency.

  • Governance Alignment:

  • Make sure models align with data governance policies, lineage tracking, and compliance requirements.

  • Data Provisioning & Access Strategy:

  • Oversee data access strategy, profiling, and provisioning workflows.

Technical Skills Required

  • Cloud / Platform: Azure, Microsoft Fabric
  • Data Governance / Catalog: MS Purview (uncertain, but likely expected)
  • ETL / Data Movement: Azure Data Factory (ADF), PySpark
  • Programming / Scripting: Python
  • Visualization / Reporting: Power BI (PBI)
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