Data QA Lead

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. 
 

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.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
   

The Impact you will have in this role:           

Being a member of Digital Assets Team, this role will be in the Data Team within Digital Assets. The Digital Assets Data team maintains the organization’s data, business intelligence tools and infrastructure.  The DDA Data QA Lead will be the point person for the QA activities related to project results for the team. 

DTCC Digital Assets is at the forefront of driving institutional adoption of digital assets technology with a steadfast commitment to innovation anchored in security and stability. As the financial services industry’s trusted technology partner, we pride ourselves on empowering a globally interconnected and efficient ecosystem. Our mission is to provide secure and compliant infrastructure for digital assets, enabling financial institutions to unlock the full potential of blockchain technology

 

Your Primary Responsibilities:

• Understands Agile and relevant frameworks (e.g., scrum) to improve the success of the squad.
• Possess a comprehensive understanding of Agile tools, techniques, principles and values and apply this knowledge to the squad.
• Lead QA strategy and execution for data management platforms within the Digital Assets Data team.
• Design and implement test plans for data validation, ETL processes, and data integrity across multiple systems.
• Collaborate with multi-functional squads to ensure quality standards are embedded throughout the agile development lifecycle.
• Develop and maintain automated testing frameworks to support continuous integration and delivery.
• Conduct performance, scalability, and regression testing for data platforms such as Snowflake, Power BI, and Sigma Computing.
• Ensure traceability of requirements through comprehensive test coverage and defect tracking.
• Provide QA leadership in scrum ceremonies and contribute to backlog grooming and sprint planning.
• Mentor junior QA engineers and promote standard processes in data testing and agile quality assurance.
• Communicate testing progress, risks, and results clearly to stakeholders and leadership.
• Continuously improve QA processes by incorporating feedback, metrics, and lessons learned.

**NOTE: The Primary Responsibilities of this role are not limited to the details above. **

 

Qualifications:

• 7-10 years of experience as a QA lead for data platforms.
• Bachelor’s degree preferred and/or related experience.

Talents Needed for Success:

• Experience in Agile Development, with Scrum Master (or similar) experience
• Clear communicator, with good verbal and written communication skills 
• Continuous proactivity and follow-through 
• Ability to prioritize and focus on most urgent tasks & work in a fast-paced IT environment
• Proficient MS Office skills
• Knowledge of system functionality to be able to engage in discussion with the squad
• Not afraid to ask many questions, push back, or raise attention to risks or issues
• A flexible, and proactive approach to track down resources to capture appropriate information
• Innovative (to use variability)
• Comfortably working closely with team management to review approaches and requirements that solve the business problem
• Expertise in data quality assurance, including data validation, reconciliation, and profiling.
• Proficiency in SQL for data querying, analysis, and validation.
• Hands-on experience with data testing tools and frameworks (e.g., Apache Nifi, Talend, Informatica, or similar).
• Familiarity with cloud-based data pla