The Senior Tech Lead - Databricks leads the design, development, and implementation of advanced data solutions. Has To have extensive experience in Databricks, cloud platforms, and data engineering, with a proven ability to lead teams and deliver complex projects.
Responsibilities:
- Lead the design and implementation of Databricks-based data solutions.
- Architect and optimize data pipelines for batch and streaming data.
- Provide technical leadership and mentorship to a team of data engineers.
- Collaborate with stakeholders to define project requirements and deliverables.
- Ensure best practices in data security, governance, and compliance.
- Troubleshoot and resolve complex technical issues in Databricks environments.
- Stay updated on the latest Databricks features and industry trends.
Key Technical Skills & Responsibilities
- Experience in data engineering using Databricks or Apache Spark-based platforms.
- Proven track record of building and optimizing ETL/ELT pipelines for batch and streaming data ingestion.
- Hands-on experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, or Azure SQL Data Warehouse.
- Proficiency in programming languages such as Python, Scala, SQL for data processing and transformation.
- Expertise in Spark (PySpark, Spark SQL, or Scala) and Databricks notebooks for large-scale data processing.
- Familiarity with Delta Lake, Delta Live Tables, and medallion architecture for data lakehouse implementations.
- Experience with orchestration tools like Azure Data Factory or Databricks Jobs for scheduling and automation.
- Design and implement the Azure key vault and scoped credentials.
- Knowledge of Git for source control and CI/CD integration for Databricks workflows, cost optimization, performance tuning.
- Familiarity with Unity Catalog, RBAC, or enterprise-level Databricks setups.
- Ability to create reusable components, templates, and documentation to standardize dat
📌 Technical Architect (Pune)
🏢 Eviden
📍 Pune