Job Title: Azure Data Architect
Job Type: Full-Time
Work Mode: Hybrid
Location: Bengaluru, Hyderabad, Chennai
Experience: 12 – 18 Years
Role Overview
The Data Architect is responsible for designing and governing enterprise-scale data architectures that enable secure, scalable, and high-performance data solutions with Databricks on cloud platform. This role focuses on building modern data platforms, driving best practices, and ensuring alignment with business objectives across analytics, engineering, and governance teams.
Key Responsibilities
Architecture & Strategy
Define the enterprise data architecture vision and standards for Lakehouse and cloud-native platforms.
Develop reference patterns for ingestion, transformation, modeling, and governance using Databricks
Drive adoption of modern frameworks such as DBT for transformation and Airflow for orchestration.
Enable privacy-preserving analytics through Clean Room solutions and architect reusable data products.
Ensure designs support scalability, cost optimization, and future-proofing for advanced analytics and AI.




Drive adoption of Medallion architecture and advanced Lakehouse capabilities (Photon, Delta Live Tables, AI/BI).
Drive API-based integrations for data services and interoperability.
Evaluate Databricks features, cost models, runtimes, governance controls, and roadmap impact.
Technical Design Leadership
Provide architectural guidance to engineering teams for building pipelines and APIs.
Establish reusable frameworks for ETL/ELT, streaming, and batch processing.
Integrate Power BI for analytics and reporting, ensuring seamless connectivity with Lakehouse architecture.
Implement telemetry-driven observability using Splunk/Datadog and enforce Dev Ops best practices for CI/CD.
Guide teams on modular designs leveraging Microservices, containerization (Docker/Kubernetes), and infrastructure automation (Terraform) as valuable-to-have capabilities.
Review design specifications, data models, pipeline patterns, and solu

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