Data Engineer Manager

About the company

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Full job description

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.

Qualifications and requirements

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 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.

Additional information

Our Perks and Benefits:

📚 Learning Opportunities:

• 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.

👩‍🏫 Mentoring and Development:

• Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

⚖️ Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

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 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.

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