A
Technical Lead Data Engineer
Affine
IN Full–Time
As a Senior Technical Lead - Data Engineering & Cloud, your role will involve leading the design, development, and delivery of scalable data platforms across Azure and Google Cloud. You will be responsible for building modern data pipelines, hybrid cloud solutions, AI/ML frameworks, and mentoring technical teams to ensure the delivery of high-quality data products that support business decisions.
Key Responsibilities:
- Lead end-to-end data engineering and cloud architecture initiatives
- Design and manage data pipelines for batch and real-time processing
- Build reusable data ingestion and data quality frameworks
- Implement hybrid cloud solutions using Databricks and Snowflake
- Work closely with business teams to deliver analytics and reporting solutions
- Ensure data security, governance, and performance best practices
- Drive automation and CI/CD for data pipelines
- Guide and mentor engineers and oversee technical delivery
- Support AI/ML initiatives and advanced analytics platforms
Technical Skills:
- Cloud Platforms: Azure, Google Cloud Platform
- Data Tools: Databricks, Azure Data Factory, Synapse, BigQuery
- Programming: Scala, PySpark (Python), SQL
- Data Engineering: ETL pipelines, streaming & batch processing
- DevOps: Azure DevOps, GitHub, CI/CD
- Databases: Azure SQL, Teradata, Oracle
Preferred Skills:
- Experience with Snowflake and Delta Lake
- Exposure to AI/ML platforms and LLM solutions
- Data modelling and governance experience As a Senior Technical Lead - Data Engineering & Cloud, your role will involve leading the design, development, and delivery of scalable data platforms across Azure and Google Cloud. You will be responsible for building modern data pipelines, hybrid cloud solutions, AI/ML frameworks, and mentoring technical teams to ensure the delivery of high-quality data products that support business decisions.
Key Responsibilities:
- Lead end-to-end data engineering and cloud architecture initiatives
- Design and manage data pipelines for batch and real-time processing
- Build reusable data ingestion and data quality frameworks
- Implement hybrid cloud solutions using Databricks and Snowflake
- Work closely with business teams to deliver analytics and reporting solutions
- Ensure data security, governance, and performance best practices
- Drive automation and CI/CD for data pipelines
- Guide and mentor engineers and oversee technical delivery
- Support AI/ML initiatives and advanced analytics platforms
Technical Skills:
- Cloud Platforms: Azure, Google Cloud Platform
- Data Tools: Databricks, Azure Data Factory, Synapse, BigQuery
- Programming: Scala, PySpark (Python), SQL
- Data Engineering: ETL pipelines, streaming & batch processing
- DevOps: Azure DevOps, GitHub, CI/CD
- Databases: Azure SQL, Teradata, Oracle
Preferred Skills:
- Experience with Snowflake and Delta Lake
- Exposure to AI/ML platforms and LLM solutions
- Data modelling and governance experience
Posted 17 Mar 2026 · Listing from OnJob.io. Create a free profile to apply and see your AI match score.
Related Data & AI jobs
Hand-picked roles that match this listing on skills, category and location — each scored to your profile inside OnJob.
Data Entry Operator Mumbai (Work From Home) | Part Time / Full Time | Freshers Welcome | Typing Jobs Infosure Technologies Mumbai, Maharashtra, India · ₹20,000–₹40,000/mo Gen AI Engineer Work Yatra Bengaluru, Karnataka, India · ₹25,00,000–₹35,00,000 Junior Data Analyst (Fresher) DHANLAXMI TRENDS PRIVATE LIMITED Madhya Pradesh, IN · ₹18,000–₹22,000/mo International Sales Specialist (Digital Marketing & AI Automation) MarTech Union IN · ₹20,000–₹40,000/mo OT Data Analyst and Visualisation Support Officer Visy India Hyderabad, Telangana, IN Data Analyst – Demand Generation Orcapod Consulting Services Secunderabad, Telangana, IN