JOB DESCRIPTION

Are you ready to make an impact at DTCC

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

Competitive compensation, including base pay and annual incentive
Comprehensive health and life insurance and well-being benefits, based on location
Pension / Retirement benefits
Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

The Impact you will have in this role:

The Data Quality Governance and Strategy Associate Engineer is responsible for designing, implementing, and operationalizing data governance workflows within the Collibra platform. The role combines expertise in data governance, data engineering, and analytics to enable scalable, automated, and intelligent metadata management across the enterprise.

This position plays a key role in integrating structured data and analytical metadata from Snowflake into Collibra, supporting centralized data cataloging, standardized definitions, and end-to-end data lineage for analytics and reporting. It also enables AI-driven metadata generation and governance optimization leveraging Snowflake AI capabilities, enhancing data stewardship efficiency and metadata quality at scale.

Your Primary Responsibilities:

Strong understanding of data cataloging, metadata management, data lineage, and data controls.
Experience with data integration frameworks and governance tooling.
Familiarity with AI-driven metadata enrichment and automation is preferred.
Ability to quickly understand and adapt to new tools, platforms, and project requirements.
Strong documentation skills for both technical and business audiences.
High attention to detail with strong organizational and multitasking capabilities.
Excellent stakeholder management and cross-functional collaboration skills.
Ability to communicate effectively with business, engineering, and leadership teams.
Strong interpersonal, customer service, and verbal/written communication skills.
Experience working in Agile environments (Scrum/SAFe).
Proven ability to manage timelines and deliverables effectively.

Qualifications:

Minimum of 4 years of related experience
Bachelor's degree preferred or equivalent experience

Talents Needed for Success:

2+ years of experience in data governance, data engineering, or analytics.
2+ years of development experience in Java, Python, and/or UNIX environments.
2+ years of SQL and Snowflake experience handling large-scale data.
2+ years of experience working with AI capabilities within Snowflake or similar platforms.
Effective written and verbal communication for issue reporting.