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Chief Data Architecture Strategist

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeDataStrategist Full time ₹ 57,60,000 - ₹ 72,00,000

About the Role:

A leading US-based IT company is seeking a highly experienced Chief Data Architecture Strategist to drive end-to-end data architecture for cross-product reporting solutions.

The ideal candidate will have 12+ years of experience in data engineering and architecture, with 5+ years of experience architecting analytics platforms for SaaS or enterprise products.

Key responsibilities include defining a canonical insurance data model, establishing robust data contracts, and designing multi-tenant data isolation and security.

The candidate will also build the ingestion and transformation layer, stand up the semantic layer, institute data quality and observability, own governance and compliance, and drive performance, reliability, and cost optimization.

Required qualifications and skills include a Bachelor's or Master's degree in computer science or a related field, expertise with Azure data stack, Power BI, and deep understanding of insurance data.

Desirable qualifications and skills include knowledge of reinsurance, bordereaux reporting, and regulatory/data-sharing requirements, familiarity with DAMA-DMBOK practices and metric standardization frameworks, and certifications in Azure Data, Databricks, or Power BI.

Responsibilities:

  • Owning the end-to-end data architecture
  • Defining a canonical insurance data model
  • Establishing robust data contracts
  • Designing multi-tenant data isolation and security
  • Building the ingestion and transformation layer
  • Standing up the semantic layer
  • Instituting data quality and observability
  • Driving performance, reliability, and cost optimization

Requirements:

  • Bachelor's or Master's degree in computer science or a related field
  • Expertise with Azure data stack and Power BI
  • Deep understanding of insurance data
  • Knowledge of reinsurance and bordereaux reporting
  • Familiarity with DAMA-DMBOK practices and metric standardization frameworks
  • Certifications in Azure Data, Databricks, or Power BI