Chief Data Infrastructure Specialist

3 days ago

Kurnool, Andhra Pradesh, India beBeeEnterpriseDataArchitect Full time ₹ 48,00,000 - ₹ 72,00,000
Job Title: Enterprise Data Architect

A highly skilled Enterprise Data Architect is required to design and implement data architectures for cross-product reporting solutions.

Key Responsibilities:

  • Develop end-to-end data architecture for a lakehouse/warehouse, streaming + batch pipelines, semantic layer, and BI.
  • Create a canonical insurance data model spanning 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.
  • Design multi-tenant data isolation and security, including workspace, schema, and row-level strategies; enforce RBAC/ABAC, encryption, and key management aligned to SOC 2, GDPR, and PCI-DSS.
  • Build the ingestion and transformation layer: streaming (Kafka/Event Hubs) and batch (ELT/ETL) into a bronze/silver/gold (medallion) model; manage SCD, 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, SLAs/SLOs, lineage, and monitoring (contracts, schema drift, nullability, referential integrity, reconciliation to source).
  • Own governance & compliance: metadata, lineage, catalog, PII handling, retention, audit trails; champion 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 (ADLS Gen2/Fabric or Databricks + Delta, Synapse/Fabric pipelines, Azure SQL/PostgreSQL, Purview, 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: CI/CD for pipelines/models, automated tests (unit/data tests), backward-compatible schema versioning, and environment promotions.

What We Offer:

  • A dynamic and collaborative work environment.
  • The opportunity to work on cutting-edge technology.
  • Professional growth and development opportunities.

About Us:

We are a leading company in the industry, dedicated to delivering innovative solutions to our clients. Our team of experts is passionate about creating value through technology.

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