Chief Data Architect

1 day ago

Salem, Tamil Nadu, India beBeeSolution Full time ₹ 40,00,000 - ₹ 60,00,000
Job Title: Solution Architect

A seasoned professional is required to spearhead data architecture initiatives in the IT industry.

  • Main Responsibilities:
    • Create end-to-end data architectures for cross-product reporting solutions, incorporating lakehouse/warehouse, streaming + batch pipelines, semantic layer, and BI.
    • Develop a canonical insurance data model encompassing policy, rating, endorsements, claims, billing, receivables/payables, and broker accounting, along with conformed dimensions (party, product, coverage, risk unit, geography, time).
    • Establish robust data contracts and versioned schemas with product teams and drive event standards for policy lifecycle, claims, and accounting events.
    • Develop multi-tenant data isolation and security strategies, including workspace, schema, and row-level access control, enforced through 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, managing 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.
    Qualifications & Skills:
    • Bachelor's or Master's degree in computer science, Engineering, or a related field.
    • 12+ years in data engineering/architecture, with 5+ years architecting analytics platforms for SaaS or enterprise products.
    • Proven experience designing lakehouse/warehouse architectures and event-driven data pipelines at scale (Kafka/Event Hubs).
    • Strong dimensional/star schema and semantic modeling; familiarity with Data Vault and canonical modeling patterns.
    • Expertise with Azure data stack (ADLS Gen2, Fabric or Databricks + Delta, Synapse/Fabric pipelines, Azure SQL/PostgreSQL, Purview, Key Vault) and Power BI.
    • Deep understanding of insurance data (policy lifecycle, coverages/endorsements, claims, premiums, reserves, bordereaux, broker accounting).
    • Hands-on with Python/SQL; CI/CD for data (tests, orchestration, IaC/DevOps).
    • Grounding in data governance, lineage, and security (RBAC/ABAC, PII, encryption, retention); experience with SOC 2/GDPR/PCI-DSS controls.
    • Excellent communication and stakeholder management; ability to run design reviews and mentor teams.
    Desirable Qualifications & Skills:
    • Knowledge of reinsurance, bordereaux reporting, and regulatory/data-sharing requirements.
    • Familiarity with DAMA-DMBOK practices and metric standardization frameworks.
    • Certifications in Azure Data, Databricks, or Power BI; Agile experience.

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