Overview
Remote
Full Time
Skills
Employment Authorization
Insurance
Data Architecture
Taxonomy
Organized
RBAC
Access Control
Optimization
Storage
Regulatory Compliance
Management
Provisioning
Workflow
Cloud Computing
Microsoft
Data Governance
Extract
Transform
Load
Microsoft Azure
ADF
PySpark
Scripting
Python
Visualization
Reporting
Microsoft Power BI
Job Details
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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