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AVP/VP - Databricks Architect || Unity Catalog

12 years

0 Lacs

hyderabad telangana india

Posted:5 days ago| Platform: Linkedin logo

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Skills Required

databricks unity design architecture data engineering governance security certifications azure aws drive processing analytics learning controls auditing tuning optimization ml leadership development compliance apache spark pyspark iam abac auto sql gcp

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Databricks Architect

Location:

Experience:

Employment Type:

Job Summary

Databricks Architect

Key Responsibilities

  • Architect, design, and implement end-to-end data solutions using

    Databricks Lakehouse

    on cloud platforms (Azure/AWS/GCP).
  • Define and drive enterprise-scale architectures for data ingestion, processing, analytics, and machine learning workloads.
  • Lead implementation and governance using

    Unity Catalog

    , including data access controls, lineage, auditing, and metadata management.
  • Establish best practices for data modeling, performance tuning, cost optimization, and CI/CD for Databricks workloads.
  • Collaborate with data engineering, analytics, ML, security, and platform teams to deliver robust and compliant solutions.
  • Provide technical leadership, mentorship, and architectural guidance to development teams.
  • Ensure adherence to data security, privacy, and compliance standards.
  • Evaluate and integrate new Databricks features and ecosystem tools.
  • Act as a key stakeholder in solution reviews, design approvals, and architectural governance forums.

Required Skills & Experience

  • 12+ years

    of overall IT experience with strong focus on data engineering and architecture.

  • 5+ years

    of hands-on experience with

    Databricks

    in production environments.
  • Deep expertise in

    Databricks Lakehouse

    ,

    Delta Lake

    ,

    Unity Catalog

    , and workspace administration.
  • Strong hands-on experience with

    Apache Spark (PySpark/Scala)

    .
  • Experience with cloud platforms:

    Azure (preferred)

    , AWS, or GCP.
  • Solid understanding of data governance, security, IAM, RBAC/ABAC, and regulatory compliance.
  • Experience designing batch and streaming pipelines (e.g., Auto Loader, Structured Streaming).
  • Strong SQL skills and experience with data warehousing and analytics workloads.
  • Proven ability to architect scalable, high-performance, and cost-efficient data solutions.

Certifications (Mandatory)

  • Databricks Certified Data Engineer Professional

    and/or

  • Databricks Certified Solutions Architect

    (preferred)
  • Cloud certifications (Azure/AWS/GCP) are a plus

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