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Data Bricks Architect

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Onsite

Data Bricks Architect

Deloitte

Data Bricks Architect

Skills

Google Cloud PlatformSQL QueriesData EngineeringDatabricksData AnalysisAIAWSPySparkAzure

21 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

29 September 2026

What they need


About the Company

About the Role

Position SummarySeeking an experienced Databricks Architect to join our Data & AI team, with strong hands-on expertise in designing and delivering enterprise-scale Databricks Lakehouse, data engineering, analytics and AI solutions.The role will support multiple strategic initiatives and requires strong expertise in Databricks and at least one cloud platform (Azure/AWS/GCP).

Responsibilities

  • Design, develop, and optimize scalable batch and streaming data pipelines using Databricks, Delta Lake and Lakeflow.
  • Design and implement Lakehouse architectures using Lakeflow Connect, Lakeflow SDP, Lakeflow Jobs, Auto Loader and CDC patterns.
  • Leverage Databricks AI/BI and Genie capabilities to deliver business-facing analytics and AI-driven solutions.
  • Implement Unity Catalog for data governance, security, access control, and lineage.
  • Apply best practices for performance, scalability, reliability, cost optimization, and CI/CD using Databricks Asset Bundles and DevOps practices.
  • Collaborate with business stakeholders, architects, and data teams to translate requirements into technical solutions.
  • Troubleshoot complex production issues and provide timely resolution with minimal supervision.

Qualifications

  • Atleast 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, or related roles.
  • Strong hands-on experience with Databricks Lakehouse in enterprise environments.
  • Strong expertise in Databricks and cloud technologies, including data engineering, BI, and AI-driven analytics use cases.
  • Advanced proficiency in PySpark, Spark SQL, SQL, and Databricks notebooks.
  • Experience building and optimizing ETL/ELT pipelines using Lakeflow, Delta Lake, Auto Loader, and CDC.
  • Strong understanding of Unity Catalog, Delta Lake, Lakeflow, AI/BI, Genie and Databricks best practices.
  • Databricks certification is mandatory.
  • Experience working with structured and semi-structured data at scale.
  • Ability to work independently with minimal oversight.
  • Excellent problem-solving, architecture, and communication skills.

Required Skills

  • Databricks Lakehouse
  • Lakeflow / Lakeflow Connect / Lakeflow SDP / Lakeflow Jobs
  • Unity Catalog
  • Delta Lake
  • AI/BI
  • Lakebase
  • PySpark / Spark SQL / SQL
  • Auto Loader / CDC / SCD
  • Databricks Asset Bundles (DAB) / CI-CD
  • ETL/ELT Development
  • Databricks Performance & Cost Optimization
  • Agent Bricks
  • Genie
  • Azure / AWS / GCP

Preferred Skills

Pay range and compensation package

Equal Opportunity Statement

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