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Sr Data Engineer (Databricks)

Unison GroupBengaluru, Karnataka🇮🇳IndiaPosted 2 Oct 2026

Why this role stands out

You'll lead innovative data engineering initiatives, architecting and optimizing enterprise-scale data pipelines with Azure Databricks, offering significant opportunities for technical leadership and impact. This role is perfect for experienced data engineers who excel in PySpark, Delta Lake, and CI/CD practices, eager to mentor teams and drive AI/ML integration within a reputable company. Apply now to shape the future of data solutions.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationBengaluru, Karnataka, India
Posted3 weeks ago
SQLScalaETLEncryptionAzureDatabricksKafkaPower BIPythonUnityApache SparkAzure DevOpsCI/CDDelta Lake

Job description

Position Overview:

  • Lead the design, architecture, and optimization of enterprise-scale data pipelines using Azure Databricks for ACDP projects, driving innovation in DATA & AI initiatives.
  • Leverage 7-8 years of expertise to mentor teams, ensure scalability, and deliver mission-critical data solutions.

Key Responsibilities:

  • Architect and implement end-to-end data pipelines with Azure Databricks (notebooks, jobs, clusters) for ingestion, ETL/ELT, and complex transformations, incorporating Medallion Architecture (Bronze, Silver, Gold) using Delta Lake for ACID compliance, versioning, schema evolution, and data quality.
  • Provide hands-on leadership in Databricks Spark (PySpark, Scala, SQL), Delta Live Tables, Structured Streaming, and Unity Catalog for advanced governance, security, and multi-workspace management.
  • Integrate with Azure ecosystem including ADLS Gen2, Azure SQL Database, Serverless/Dedicated SQL Pools; orchestrate via Databricks workflows and hybrid ADF triggers for high-volume ACDP workloads.
  • Design and deploy CI/CD pipelines using Azure DevOps, Bicep for infrastructure-as code, and advanced automation for Databricks workspaces, emphasizing zero downtime deployments and cost optimization.
  • Champion data quality, validation, cleansing with Databricks expectations/constraints, and compliance via RBAC, encryption, and Purview; mentor on best practices for Photon engine, auto-scaling, spot instances, and performance tuning
  • Collaborate with senior analysts, data scientists, and executives to translate complex business requirements into reusable Databricks components, fostering  AI/ML integration.
  • Drive monitoring, troubleshooting, and optimization for petabyte-scale processing,  including unstructured data handling, data modeling, and streaming from Kafka/Event Hubs

Required Qualifications:

  • 7-8+ years in data engineering, with deep Azure Databricks expertise for big data processing in high-demand environments
  • Advanced proficiency in Python/PySpark, SQL, Scala; strong data architecture and distributed systems experience
  • Proven track record in cloud-native solutions (AZ-900+ preferred), CI/CD, and mentoring junior engineers
  • Excellent communication for stakeholder alignment and documentation

Preferred: Power BI, Power Automate, Azure ML, enterprise governance tools.

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ApplyOr apply on Unison Group's site