Lead Snowflake Engineer

Job Description

KPI Partners is seeking a skilled and experienced Lead Azure Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with a focus on Azure technologies, and hands-on experience with Snowflake and Fabric platforms.

Key Responsibilities:

- Design, develop, and implement scalable data solutions on Azure, ensuring best practices in data architecture and engineering.
- Collaborate with cross-functional teams to gather requirements and translate them into effective data models and pipelines.
- Optimize data workflows and enhance performance of existing data solutions, ensuring data integrity and availability.
- Lead and mentor a team of data engineers, providing guidance on technical aspects and fostering a culture of continuous learning.
- Implement data governance and security practices, ensuring compliance with industry standards and regulations.
- Stay current with emerging technologies and trends in data engineering, and evaluate new tools and frameworks for potential adoption.

Must have:

- Expertise in Microsoft Fabric, Lakehouse, and Medallion Architecture

- Experience in data modeling (dimensional modeling, star schema, snowflake schema etc).

- Proficiency in SQL, Python, and PySpark.

- Hands-on experience with cloud platforms (Azure(preferred), AWS, or GCP).

- Solid understanding of CI/CD pipelines, DevOps, and version control (Git).

Good to have:

- Familiarity with BI tools (Power BI, Tableau etc.)

- Familiarity with data governance frameworks (Purview etc.)
If you are passionate about data engineering and are looking to take your career to the next level, we invite you to apply for the Lead Azure Data Engineer position at KPI Partners. Join us in shaping the future of data solutions and making an impact on our clients' success.