Azure Databricks Engineering Lead 10+ Shruti (Hyderabad)

Azure Databricks Engineering Lead 10+ Shruti (Hyderabad)

02 Oct
|
HCL INDIA
|
Hyderabad

02 Oct

HCL INDIA

Hyderabad

Azure Databricks Engineering Lead
Azure Databricks Engineering Lead
Position Summary
We are seeking an experienced Azure Databricks Engineering Lead to provide technical leadership and overall engineering ownership for an enterprise Azure Databricks data platform. This role will lead the design, development, optimization, and evolution of the Databricks ecosystem, while establishing engineering standards, reusable patterns, and best practices across the team.
The ideal candidate will bring 10–15 years of data engineering and data platform experience, with deep hands-on expertise in Azure Databricks, Apache Spark, Scala, SQL, ADLS, and batch/streaming architectures. This individual will serve as the senior technical authority for the Databricks team, driving technical decisions, mentoring engineers, guiding architecture, and ensuring delivery of scalable, secure, reliable, and high-performing data solutions.
Required Skills
Technical — Must Have
• Azure Databricks — advanced hands-on development and platform expertise
• Azure Data Lake Storage (ADLS)
• Apache Spark — architecture, core concepts,



optimization, and performance tuning
• Scala
• SQL — advanced development and performance tuning
• Data Streaming — Spark Structured Streaming and enterprise streaming patterns
• Enterprise-scale data engineering and data platform architecture
• Experience establishing reusable frameworks, engineering standards, and development patterns
Domain — Preferred
• Healthcare experience, including claims, clinical, eligibility, provider, or member data
• HIPAA-aware data handling and security practices
Nice to Have
• Python / PySpark
• Broader Azure platform knowledge
• MongoDB
• CI/CD, DevOps, data governance, and data quality frameworks
Required Experience
• 10–15 years of progressive experience in Data Engineering, Data Warehousing, and/or enterprise data platforms.
• 5+ years of hands-on Databricks and/or Spark experience, preferably within Azure.
• Proven experience designing an

📌 Azure Databricks Engineering Lead 10+ Shruti (Hyderabad)
🏢 HCL INDIA
📍 Hyderabad

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