We are looking for an experienced Senior Technical Lead Data Engineering & Cloud to lead the design, development, and delivery of scalable data platforms across Azure and Google Cloud.

The role involves building modern data pipelines, hybrid cloud solutions, AI/ML frameworks, and mentoring technical teams to deliver 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.