Description

You will own the design and execution of data management strategy and scalable data pipelines.

This role is hybrid.

Responsibilities

• Define and execute the data management vision, strategy, and best practices.
• Design, implement, and maintain scalable data pipelines processing large-scale datasets.
• Implement data governance policies to ensure data accuracy and compliance.
• Partner with engineering, product, and business teams to make data actionable.
• Lead and develop a team of data engineers and analysts.

Required Skills

• 10+ years of experience managing data infrastructure and optimizing data pipelines at scale.
• Strong hands-on experience with AWS services (S3, Lambda, Redshift, Glue).
• Proficiency in Python and PySpark for data processing and workflow implementation.
• Experience with Apache Airflow and Apache Iceberg.
• Solid understanding of data governance, privacy, and quality control best practices.
• Proven ability to lead, mentor teams, and influence stakeholders on data initiatives.
• Strong problem-solving abilities and a data-driven approach.

Preferred Skills

• Associate or Bachelor's Degree level education.

Key Skills

Education

Associate Degree, Bachelors Degree