About The Position

Blend is seeking a 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.

Requirements

  • 7+ years of experience in Data Engineering, Data Governance, or related fields.
  • Proven experience in a technical leadership or managerial role with hands-on involvement.
  • Strong hands-on experience with Snowflake (Must).
  • Deep expertise in Data Governance frameworks and implementation (Must).
  • Hands-on experience building AI/ML-driven or agent-based governance solutions (Must).
  • Experience implementing data masking and privacy solutions using agents (Must).
  • Strong experience with AWS services, including S3, Glue, Lambda, AgentCore, and data optimization/cleanup workflows (Must).
  • Proven expertise using CoCo and Cortex effectively for intelligent data processing (Must).
  • Experience auditing data systems to identify trends, patterns, and anomalies (Must).
  • Strong experience with SQL and Python (or similar) for data processing and automation.
  • Ability to balance hands-on execution with strategic leadership.
  • Strong communication skills and ability to work with cross-functional stakeholders.

Responsibilities

  • 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.

Benefits

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.
  • Travel opportunities to attend industry conferences and meet clients.
  • Career development plans and mentorship programs to help shape your path.
  • Special day rewards to celebrate birthdays, work anniversies, and other personal milestones.
  • Company-provided equipment.
  • Flexible working options to help you strike the right balance.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service