Data Engineer Manager

We’re looking for an Data Engineer Manager to lead the design and implementation of advanced data governance and privacy solutions for a high-impact enterprise initiative.

This role requires a strong balance between technical leadership and hands-on execution, with a focus on leveraging AI-driven automation to enforce governance at scale.

You will be responsible for defining governance strategies, building intelligent automation frameworks, and ensuring secure, compliant, and high-quality data across modern cloud platforms. What will you be doing?

Lead the design and implementation of AI-driven data governance solutions , ensuring automation and scalability across data platforms. Build and oversee the development of agent-based frameworks to enforce data governance, privacy, and compliance automatically.

Actively contribute hands-on to the development of solutions in Snowflake and AWS environments. Implement and oversee PII protection strategies , including data masking and obfuscation through agent-based approaches.

Design and optimize data workflows in AWS (S3, Glue, Lambda, AgentCore) , including data cleanup and performance optimization initiatives. Leverage CoCo and Cortex to build intelligent governance processes and enhance automation capabilities.

Establish and enforce data governance standards, policies, and best practices across teams and platforms. Audit data processes and outputs to detect trends, patterns, and anomalies , ensuring continuous improvement and compliance.

Collaborate with cross-functional stakeholders to align governance strategies with business and regulatory requirements. Identify risks, inefficiencies, and improvement opportunities, and drive scalable solutions. Mentor and guide team members while remaining actively involved in technical execution.

What are we looking for? 7+ years of experience in Data Engineering, Data Governance, or related fields. Proven experience in a technical leadership or managerial role with ha