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Azure Databricks Lead Engineer

4 weeks ago


India Alcor Solutions, Inc. Full time

Alcor Solutions is a leading digital transformation and cloud consulting firm, enabling enterprises to leverage modern data platforms, cloud-native solutions, and emerging technologies to drive innovation and business outcomes.

We are seeking an Azure Databricks Lead Engineer to architect, administer, and scale our enterprise Databricks environment while establishing best practices and governance across the organization.

Role Overview

The Azure Databricks Lead Engineer will serve as the subject matter expert (SME) for our Databricks platform, overseeing its architecture, administration, and optimization across the enterprise.

This individual will be responsible for designing the Databricks Medallion architecture, implementing Unity Catalog governance, managing cluster policies, and driving the adoption of Databricks best practices. The role requires a combination of hands-on administration and strategic platform design, ensuring Databricks is secure, scalable, and fully aligned with enterprise data initiatives.

  • Design and implement Databricks Medallion architecture for enterprise-wide data usage.
  • Define workspace strategy, including design, configuration, and organization for multi-team and multi-project usage.
  • Establish best practices for data ingestion, transformation, and consumption using Databricks.
  • Administer and optimize the Azure Databricks platform (clusters, pools, compute policies).
  • Set up and manage Unity Catalog, including access control, catalog/schema security, and governance for PII and PHI data.
  • Create and enforce cluster management policies, workspace permissions, and environment segregation (dev/test/prod).
  • Monitor platform health, usage, and costs; implement scaling and tuning strategies.
  • Collaborate with cloud infrastructure, networking, and security teams to ensure Databricks integrates with enterprise systems and policies.
  • Support data engineers, data scientists, and analytics teams by enabling seamless deployment of applications and pipelines on Databricks.
  • Act as the primary technical advisor and escalation point for Databricks-related issues.
  • Define processes for sizing and provisioning Databricks clusters based on project requirements.
  • Establish governance for non-production and production environments to ensure compliance and cost-efficiency.
  • Build guidelines for version control, Unity Catalog repository configuration, and DevOps pipelines.
  • Serve as the Databricks SME across the enterprise, evangelizing best practices and new features.
  • Mentor internal teams and conduct workshops or training sessions to upskill stakeholders on Databricks usage.
  • Stay current with Databricks and Azure advancements, ensuring the enterprise platform evolves with industry standards.

Experience & Qualifications:

  • 7+ years of relevant experience in data engineering, cloud data platforms, or similar roles.
  • Proven track record of Databricks administration and architecture, ideally with formal Medallion architecture experience.
  • Experience in managing large-scale Databricks environments across multiple teams and projects.
  • Deep expertise in Azure Databricks, Unity Catalog, and Delta Lake.
  • Strong knowledge of cluster configuration, compute policies, and workspace design
  • Familiarity with Azure ecosystem (Azure Data Lake, Key Vault, Azure Active Directory).
  • Understanding of data governance, security policies, and compliance standards (handling of PII/PHI).
  • Experience with CI/CD pipelines, version control (Git), and infrastructure-as-code practices is desirable.