Job Description:

Lead Databricks Engineer / Architect

Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai

Role Overview
We are seeking an experienced Lead Data Engineer / Architect with over 10 years of industry experience (5+ years in Databricks and modern data platforms) to design, implement, and lead enterprise-scale data solutions. The ideal candidate is hands-on with Databricks ecosystem, PySpark (UDFs, Pandas UDFs), dbt, and Airflow, and is capable of driving architecture decisions, leading engineering teams, and ensuring best practices in data engineering.
Key Responsibilities

Lead the design and implementation of data lakehouse architectures using Databricks, Delta Lake, and Delta Live Tables.Define best practices for workspace setup, cluster management, repos, and job orchestration.Partner with stakeholders to translate business needs into scalable data engineering solutions.Data Engineering & DevelopmentDevelop and optimize ETL/ELT pipelines using PySpark, dbt, and Airflow.Implement advanced PySpark transformations leveraging UDFs and Pandas UDFs for complex use cases.Ensure data quality, lineage, and observability across all pipelines.

Required Skills & Qualifications

10+ years of total IT experience, with at least 5 years of relevant data engineering experience on Databricks.Strong expertise in:Databricks (Workspace, Clusters, Jobs, Repos, Delta Live Tables)PySpark (UDFs & Pandas UDFs)dbt for data transformationsApache Airflow for orchestrationSolid understanding of cloud data platforms (Azure/AWS/GCP).Hands-on with CI/CD, version control (Git), and DevOps practices for data engineering.Databricks Certified Data Engineer Associate (mandatory).Proven ability to lead and mentor teams, with excellent communication and stakeholder management skills.

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