Position Details
About this role
This role leads the company's data strategy, overseeing data engineering, analytics, and governance to enable scalable, trusted data solutions. The candidate manages a team of data engineers, scientists, and analysts in a cloud environment.
Key Responsibilities
- Lead data engineering initiatives
- Oversee BI and analytics projects
- Establish data governance policies
- Manage data science and ML pipelines
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes Azure cloud platform, Databricks, Snowflake, Power BI, Python, R, and SQL. The focus is on building data pipelines, ML models, and analytics solutions.
Ideal Candidate
The ideal candidate is a senior data professional with at least 4 years of experience leading data engineering, analytics, and governance initiatives. They are proficient with cloud platforms like Azure, Databricks, and Snowflake, and have strong leadership and strategic skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud data platforms (Azure, Snowflake, Databricks), No leadership or team management experience, Insufficient knowledge of data pipelines or ML, No relevant certifications
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