Solution Architect (Databricks)

7 - 12 years

30 - 45 Lacs

Posted:13 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Databricks Solution Architect

Key Responsibilities:

Solution Architecture

  • Architect end-to-end data solutions leveraging Databricks Lakehouse Platform for data engineering, streaming, analytics, ML, and governance.
  • Define best practices for data ingestion, transformation, optimization, Delta Lake design, cluster configuration, and performance tuning.
  • Design ETL/ELT pipelines, data models, data quality frameworks, and cost-efficient architectures.
  • Integrate Databricks with Azure/AWS/GCP cloud services (ADF, ADB, S3, ADLS, IAM, Dataflow, BigQuery, Redshift, etc.)
  • Guide internal teams and clients during PoCs/POVs and ensure technical success.
  • Conduct capability presentations, roadmaps, and architecture review sessions.
  • Build reusable accelerators, frameworks, and solution kits for presales and delivery.
  • Stay updated with Databricks roadmap, new features (Unity Catalog, DBSQL, GenAI, Delta Live Tables, Mosaic AI, Governance), and industry trends

Required Skills:

  • 7-12 years of experience in data engineering, analytics, or cloud architecture.
  • 3-5 years hands-on experience with

    Databricks

    and

    Delta Lake

  • Strong understanding of:
    • PySpark/Spark SQL
    • Delta Lake optimization & medallion architecture
    • MLflow, Feature Store (good to have)
    • Databricks Jobs, DLT, Workflows, Unity Catalog
    • Databricks SQL / DB SQL Warehouse
    • CI/CD for Databricks (Repos, Git integration)

Presales Competencies:

  • Strong presentation, whiteboarding, and client-facing communication skills.
  • Experience preparing proposals, RFP/RFI responses, and solution blueprints.
  • Ability to define pricing, licensing, and sizing for Databricks workloads
  • Experience in scoping PoCs/POVs and managing presales cycles.

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