You will lead the design and delivery of a modern data platform. This involves building automated pipelines, managing cloud infrastructure, and mentoring a team to ensure high-quality, cost-efficient data solutions.

Your Tech Stack :

- Cloud : Azure (Data Factory, Functions, ADLS Gen2, Key Vault)

- Warehouse : Snowflake (Advanced SQL, optimization, and scaling)

- Transformation : dbt (Modular modeling, testing, and documentation)

- Languages : Python or C# (for serverless logic and custom APIs)

Key Responsibilities :

- Pipeline Architecture : Build end-to-end ETL/ELT flows from APIs and databases into Snowflake.

- Custom Coding : Use Azure Functions (Python/C#) for complex logic and API authentication.

- Data Modeling : Use dbt to create a "single source of truth" and SQL for high-performance transformations.

- Team Leadership : Conduct code reviews, manage task allocation, and mentor junior engineers.

- Security & Optimization : Manage credentials via Key Vault and tune Snowflake/Azure resources for maximum cost-efficiency.

What You Need to Succeed :

- 8+ Years in Data : A deep background in data warehousing and dimensional modeling.

- Azure Mastery : Hands-on experience with ADF, Azure Functions, and Data Lake security.

- Lead Experience : A proven track record of managing teams and stakeholder expectations.

- Code Quality : Proficiency in Python and advanced SQL optimization.

Bonus Points For :

- Azure DevOps (CI/CD) and Git.

- Databricks (PySpark) experience.

- Streaming/Real-time data experience.