Databricks Technical Lead

Systems Plus

Pune District

On-site

INR 3,500,000 - 6,000,000

Full time

6 days ago
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Job summary

Systems Plus is seeking a Databricks Technical Lead in Pune to drive architecture, design and delivery of scalable data pipelines on the Databricks platform. You will act as a technical leader, mentor team members, and collaborate with client stakeholders to ensure production readiness.

The role requires strong hands-on experience with Azure Databricks, Spark, PySpark and SQL, and a deep understanding of data integration, modernization and Azure data services.

Qualifications

  • Hands-on experience with Databricks stack and data engineering
  • Strong understanding of modern data warehousing concepts
  • Experience in designing scalable data pipelines and data processing workloads

Responsibilities

  • Provide technical leadership and architectural guidance for Databricks and Data Platform
  • Lead technical discussions and mentor engineers on complex issues
  • Coordinate with client stakeholders and deliver production-ready solutions

Skills

Azure Databricks
Apache Spark
PySpark
SQL
Delta Lake
Medallion Architecture
ETL/ELT pipelines

Tools

Azure Data Factory
Azure Data Lake Storage
SQL Server

Job description

Databricks Technical Lead

Location: Pune Employment Type: full-time Designation: Databricks Technical Lead

  • Strong hands-on experience in Azure Databricks, Apache Spark, PySpark and SQL.
  • Strong understanding of Delta Lake, Medallion Architecture, ETL/ELT pipelines and modern data engineering practices.
  • Experience in designing, developing and supporting scalable data pipelines and data processing workloads on Databricks.
  • Strong experience in performance tuning, optimization and troubleshooting of Spark jobs, clusters and data pipelines.
  • Experience in handling production support, complex incidents, root cause analysis and problem management in Databricks/Data Platform environments.
  • Ability to provide technical leadership and architectural guidance for the Databricks and overall Data Platform landscape.
  • Strong knowledge of Azure Data Factory, Azure Data Lake Storage and related Azure Data Services.
  • Experience in integrating Databricks with enterprise data warehouses, databases and upstream/downstream applications.
  • Good understanding of data warehousing, dimensional modeling and enterprise data integration concepts.
  • Experience in code review, release management, deployment and production readiness activities.
  • Ability to support minor enhancements, continuous improvements and ongoing platform modernization initiatives.
  • Experience in leading technical discussions, mentoring engineers and guiding teams on complex technical issues.
  • Ability to work directly with client stakeholders and technical teams on priorities, issues and technical decisions.
  • Strong communication and stakeholder management skills, with the ability to work independently in a client-facing environment.
  • Willingness to provide support during US business hours, including availability for critical production issues as required.
  • Experience in retail or a similar data-intensive enterprise environment.
  • Experience with legacy EDW/SQL Server environments is an added advantage.
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