Lead Data Engineer, Master Data Management

Role Overview

We are seeking a Lead Data Engineer, Master Data Management to help shape the future of data at Clearstead. This is an opportunity to join our Data & AI team at a foundational stage and play a hands-on role in building the data pipelines, integrations, governance practices, and master data capabilities that bring our enterprise data together.

What You Will Do

You’ll work at the intersection of data engineering, master data management, governance, and AI, helping ensure that critical business data is accurate, consistent, secure, and accessible to the people and applications that rely on it.

Why It Might Be a Fit

This role is designed for someone who enjoys building solutions while also helping define the standards and practices behind a strong enterprise data environment.

Requirements

• Bachelor’s degree in Data Management, Information Systems, Computer Science, Business Analytics, or a related field, or an equivalent combination of education and relevant professional experience.
• 8+ years of experience in data engineering, data management, master data management, or related disciplines, including hands-on pipeline and integration development.
• Hands-on data engineering experience with PySpark, SQL, Delta Lake, and Databricks Workflows, including real-time and batch ETL and API integrations.
• 3+ years of experience leading data governance or master data management initiatives.
• Experience establishing master records, data ownership models, and enterprise data standards.
• Hands-on experience with Databricks and Unity Catalog in production environments.
• Strong understanding of data quality, data modeling, entity resolution, and data access controls.
• Experience partnering with business stakeholders to implement data governance practices.
• Knowledge of data privacy, regulatory requirements, and information security principles.
• Strong communication, collaboration, and stakeholder management skills.