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Solution Architect - Data Platform Modernization

India, Bangalore · Job Posted June 09, 2026
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Job Responsibility

  • Define the end-to-end migration strategy across
  • Own the target state architecture across data ingestion, storage, transformation, consumption, security, and observability
  • Create and maintain high-level and detailed architecture diagrams, migration wave plans, and reference patterns
  • Align architecture with enterprise standards, security, compliance, and cloud governance
  • Design the Databricks architecture: workspaces, clusters, jobs, Delta Lake layers (bronze/silver/gold), and integration with Azure services
  • Define integration patterns with Azure services such as ADLS, ADF/Synapse, Key Vault, Azure DevOps, and monitoring/log analytics
  • Select and standardize data access methods (e.g., external tables, views, direct connections, APIs) for downstream consumers
  • Analyze existing schemas, workloads, and query patterns, and define equivalent or improved implementations in Databricks and Snowflake
  • Define canonical migration patterns for: Table structures (including partitioning, clustering, distribution)
  • Stored procedures, complex SQL, and business logic
  • Batch and incremental loads / CDC
  • Design reusable migration frameworks and accelerators (e.g., code templates, parameterized pipelines, data validation utilities)
  • Establish a wave-based migration model (by subject area / domain / criticality) with clear entry/exit criteria
  • Define target ELT patterns using dbt on Snowflake (staging, core, mart layers)

Requirements

  • 15+ years designing enterprise data platforms, Lakehouse / medallion architectures, and scalable analytics ecosystems in regulated industries
  • Deep experience defining Bronze, Silver, and future Gold / ODS patterns using Databricks, ADLS/S3, Delta Lake, DBT, orchestration, and secure consumption layers
  • Strong capability in canonical data modeling across Policy, Claims, Billing, Customer, and reference/master data domains
  • Experience with architecture decisions for performance, partitioning, lineage, metadata, resilience, disaster recovery, and environment strategy
  • Able to align enterprise standards, security controls, DevSecOps, and future extensibility for AI/ML, self-service analytics, and downstream integrations

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