Sr. Analyst - System Architect

JOB DESCRIPTION - GOVERNANCE JUNIOR DATA ARCHITECT

Azure Databricks | Data Governance | Insurance and Benefits Management

Experience

10+ years

Role Level

Junior Data Architect / Governance Architect

Primary Platform

Microsoft Azure and Azure Databricks

Domain

Insurance and Benefits Management

Seeking a Governance Junior Data Architect with 10+ years of experience in data architecture, governance and cloud data platforms. The role will support the definition and implementation of governed Azure Databricks solutions, with emphasis on metadata, lineage, access control, data quality, master data, semantic consistency and regulatory compliance across Insurance and Benefits Management data environments.

• Support conceptual, logical and physical data architecture and maintain architecture standards, models and data-flow documentation.
• Design and implement governance controls using Unity Catalog, including RBAC, row/column security, lineage, auditing and data classification.
• Define and maintain business glossary, metadata, data catalog, ownership, stewardship and certified data-product standards.
• Support canonical, dimensional, semantic and master-data models for analytics, reporting and AI-ready data platforms.
• Define data-quality rules, reconciliation controls, issue-management processes, scorecards and remediation tracking.
• Contribute to MDM design covering identity resolution, match/merge, survivorship, golden records and stewardship workflows.
• Review ETL/ELT pipelines, Delta Lake structures and medallion layers for governance, traceability and policy compliance.
• Implement privacy and security controls covering encryption, masking, retention, deletion, sensitive-data handling and audit evidence.
• Partner with data engineering, security, analytics and AI teams to govern Databricks Genie, MLflow, RAG and vector-search data usage.
• Participate in architecture reviews, control assessments, release governance and knowledge transfer under senior architecture guidance.

Microsoft Azure; Azure Databricks; Delta Lake; Databricks SQL; Unity Catalog; Apache Spark and PySpark; Lakehouse and Bronze/Silver/Gold architecture; data catalog and business glossary; metadata management and lineage; RBAC and attribute-based access controls; row/column security; data classification and masking; conceptual, logical, physical and dimensional modelling; semantic-layer design; master-data management; data-quality frameworks; ETL/ELT governance; SQL and Python; Azure Data Factory or comparable orchestration; MLflow governance; RAG, embeddings and vector-search governance; REST APIs; Terraform; CI/CD and DevSecOps; monitoring, audit and compliance reporting.

• 10+ years of experience in data architecture, data governance, data engineering, data warehousing or enterprise analytics.
• Hands-on experience with Azure Databricks governance, Unity Catalog, lineage, access controls and data-quality practices.
• Experience working with data owners, data stewards, security teams and engineering teams to implement governance controls.
• Working knowledge of analytics, BI, AI/ML and generative-AI data-governance requirements.
• Bachelor’s or master’s degree in Computer Science, Information Technology, Data Engineering or a related discipline.
• Azure, Databricks or recognized data-governance certifications are preferred.

• Insurance domain experience with governed policy, carrier, customer, enrollment, eligibility and claims data.
• Benefits Management experience and understanding of regulated, privacy-sensitive and health-adjacent information.
• Familiarity with insurance data exchange, EDI concepts and regulatory audit requirements is preferred.

Structured problem-solving, attention to data quality and control evidence, clear documentation, stakeholder collaboration, architecture discipline, ability to communicate governance requirements to technical teams, and willingness to work under the direction of senior data and enterprise architects.