Data Engineer Manager

Job Description

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.

Function: Marketing
Experience Level: Mid-Senior Level