Job Description: Senior Technical Lead – Azure Databricks
We are looking for a Senior Technical Lead with strong expertise in Azure Databricks to lead the design, development, and delivery of scalable cloud-based data engineering solutions. The ideal candidate will have hands-on experience in building modern data platforms on Azure, driving technical excellence, and leading teams to deliver high-quality analytics and data integration solutions.
Key Responsibilities
Lead the design and implementation of data engineering solutions using Azure Databricks.
Develop and optimize ETL/ELT pipelines using PySpark and Spark SQL.
Architect and manage data lakes, data warehouses, and Lakehouse solutions.
Collaborate with business and technical stakeholders to translate requirements into scalable solutions.
Provide technical leadership, code reviews, and mentorship to development teams.
Ensure solution performance, reliability, security, and adherence to best practices.
Support CI/CD, deployment, and production issue resolution.
Skill Requirements
Must-Have Skills
Azure Databricks
PySpark, Spark SQL
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS Gen2)
Delta Lake / Lakehouse Architecture
Solid SQL and Python programming
Azure Synapse Analytics
Azure DevOps and CI/CD
Data Modeling and Data Warehousing concepts
Team leadership and stakeholder management
Proven experience leading technical teams and delivering enterprise-scale data solutions.
Strong communication, problem-solving, and collaboration skills.
Experience working in Agile/Scrum environments.
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📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India
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