Chief Data Infrastructure Architect

23 hours ago

Kannur, Kerala, India beBeeEnterprise Full time ₹ 48,00,000 - ₹ 60,00,000
Job Title: Enterprise Data Architect

A leading organization is seeking an experienced Enterprise Data Architect to oversee the design and implementation of a comprehensive data architecture solution.

Key Responsibilities:
  • Develop a unified data strategy that spans multiple products and services.
  • Design a canonical insurance data model that encompasses policy, rating, endorsements, claims, billing, receivables/payables, and broker accounting – plus conformed dimensions (party, product, coverage, risk unit, geography, time).
  • Establish robust data contracts and versioned schemas with product teams; drive event standards for policy lifecycle, claims, and accounting events.
  • Implement multi-tenant data isolation and security strategies, including workspace, schema, and row-level access control; enforce role-based access control/attribute-based access control, encryption, and key management aligned to industry standards.
  • Build the ingestion and transformation layer: streaming (Apache Kafka/Azure Event Hubs) and batch (Extract Load Transform/Extract Load Transfer) into a bronze/silver/gold (medallion) model; manage Slowly Changing Dimension, late-arriving data, and idempotency.
  • Stand up the semantic layer (e.g., Power BI/Fabric/Looker semantic models) with governed, reusable metrics.
  • Institute data quality and observability: checks, Service Level Agreements/Service Level Objectives, lineage, and monitoring (contracts, schema drift, nullability, referential integrity, reconciliation to source).
  • Own governance & compliance: metadata, lineage, catalog, Personally Identifiable Information handling, retention, audit trails; champion Azure Purview or equivalent and data stewardship processes.
  • Drive performance, reliability & cost: partitioning/clustering, query acceleration, workload management, caching, workload isolation, and cost guardrails.
  • Publish the tooling roadmap: Azure-native and complementary tools (Azure Data Lake Storage Gen2/Fabric or Databricks + Delta, Azure Synapse/Fabric pipelines, Azure SQL/PostgreSQL, Azure Purview, Azure Key Vault, Power BI).
  • Enablement: reference implementations, style guides, model playbooks; run data design reviews with product squads; mentor data engineers/analysts.
  • Release management for data: Continuous Integration/Continuous Deployment for pipelines/models, automated tests (unit/data tests), backward-compatible schema versioning, and environment promotions.
  • Collaborate with Product, Engineering, and Implementation to prioritize analytics use cases and deliver roadmaps tied to customer outcomes.

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