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Databricks Solution Architect

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Onsite

Databricks Solution Architect

V3 Staffing

Databricks Solution Architect

Skills

Google Cloud PlatformSQL QueriesData EngineeringSnowflakeDatabricksAIAWSPySparkHadoopTerraformAzure

13 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 October 2026

What they need


Title: Databricks Solution Architect (Resident) | Bengaluru | Hybrid

Databricks Solution Architect | Bengaluru, Hybrid | 10+ Years | Immediate to 30 days joining

Have you built Databricks platforms that are running in production today? Have you moved a legacy data warehouse or Hadoop estate onto Databricks and tuned Spark jobs until they ran in minutes instead of hours? We want to talk to you.

We are hiring a hands-on Databricks Solution Architect to work directly with an enterprise software client in Bengaluru. You will design and deliver Lakehouse platforms, lead migrations onto Databricks and act as a trusted technical advisor to the client's engineering and business teams. This is a consulting role. You will build, tune and advise, not manage from a distance.

What you will do

  • Design and deliver enterprise Data & AI solutions on the Databricks Lakehouse Platform

  • Lead migrations from legacy platforms (Hadoop, Teradata, Informatica, Snowflake, Synapse) to Databricks

  • Build and optimise pipelines using Apache Spark, PySpark, Delta Lake and Lakeflow (Delta Live Tables, Workflows)

  • Tune Spark workloads for performance, scalability and cost

  • Set up governance with Unity Catalog and CI/CD with Databricks Asset Bundles, Terraform and Git

  • Run architecture workshops and present solutions to technical and business leaders

  • Mentor engineering teams and set delivery standards

What you need

  • Databricks Certified Data Engineer Professional (mandatory)

  • 10+ years in technology, including 7+ years in data engineering or data platforms

  • Hands-on delivery of at least 4 enterprise Databricks implementations in production

  • Strong Spark internals: execution plans, partitioning, data skew, shuffle and memory tuning

  • Working knowledge of two clouds (AWS, Azure or GCP) with deep expertise in one

  • Consulting or client-facing delivery experience

  • Up to date with newer Databricks features: Unity Catalog, Lakeflow, serverless, Databricks SQL, Mosaic AI

  • Working knowledge of MLOps and CI/CD for production deployments

Good to have

  • AWS, Azure or GCP certifications

  • Master's degree in Computer Science, Engineering or a related field

Location and joining

  • Bengaluru, hybrid, 3 days a week at the client office

  • Candidates willing to relocate to Bengaluru are welcome

  • Immediate joiners or notice period of up to 30 days only

Keywords: Databricks Architect, Databricks Solution Architect, Resident Solutions Architect, Lakehouse Architect, Data Architect, Lead Data Engineer, Apache Spark, PySpark, Delta Lake, Unity Catalog, Lakeflow, Delta Live Tables, Azure Databricks, AWS, GCP, Data Migration, Bangalore, Bengaluru

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