Data Quality and Reliability Engineering, BlackRock Global Markets, Director

The Lead – Data Quality and Reliability Engineering will architect and build infrastructure, processes, technology, and collaboration models to embed rigorous data quality and reliability practices. This ensures data across all systems is accurate, consistent, and trustworthy, from ingestion through consumption. They will spearhead the development of a next-generation data ecosystem with a quality-first mindset, shaping a scalable and innovative platform that delivers trusted data for critical financial and analytical use cases. This leadership role balances hands-on execution, strategic direction, and team leadership to ensure a reliable, high-quality data platform, instilling confidence in analytics, reporting, and decision-making.

Must Have

• Architect and build data quality and reliability infrastructure.
• Spearhead next-generation data ecosystem development.
• Balance hands-on execution, strategic direction, and team leadership.
• 10+ years in data quality, data science, or ML engineering.
• Experience operationalizing ML or rules-based quality systems.
• Bachelor’s degree in Computer Science, Engineering, or related.
• Develop governance for data quality model lifecycle.
• Define and track data quality and reliability KPIs.
• Partner with Data Platform Engineering, governance, and analytics.
• Lead and mentor engineering teams, establish high coding standards.
• Drive continuous improvement in platform reliability.
• Excellent collaboration and communication skills.

Good to Have

• Investment Systems, Capital markets domain knowledge.
• Proficiency in data architecture protocols.
• Previous involvement with financial or investment data systems.

Perks & Benefits

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO)
• Hybrid work model (at least 4 days in office, 1 day WFH)

About this role

About the role

The Lead – Data Quality and Reliability Engineering will architect and build the infrastructure, processes, technology and collaboration model that embeds rigorous data quality and reliability practices to ensure that data across all systems – from ingestion through consumption – is accurate, consistent, and trustworthy. They will spearhead the development of our next-generation data ecosystem with a quality-first mindset, helping shape a platform that is not only scalable and innovative, but also delivers trusted data for critical financial and analytical use cases. As a leader, this position demands a balance of hands-on execution, strategic direction, and team leadership to ensure a reliable, high-quality data platform that instils confidence in analytics, reporting, and decision-making across the firm.

Experience & Education

• 10+ years in at scale data quality, data science, or ML engineering. Experience operationalizing ML or rules-based quality systems at enterprise scale. Deep understanding of data validation, anomaly detection, and data observability.
• Investment Systems, Capital markets domain knowledge is highly accretive to the role.
• Proficiency in data architecture protocols and previous involvement with financial or investment data systems is beneficial.
• A Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related discipline is a must.

Success Metrics

• Reduction in data quality incidents and MTTRs.
• Automated coverage of quality checks across pipelines.
• Measurable improvement in data reliability metrics (accuracy, timeliness, consistency).
• Improvements in end-to-end Data Lineage reliability.

Required Skills

Technical

• Establish data quality frameworks that combine multiple approaches: rules-based validation (schema checks, business rules, thresholds), statistical profiling (distribution checks, drift detection), machine learning models for anomaly detection, and LLM-assisted contextual checks for semantic data validation.
• Integrate these validation models into data pipelines for real-time (synchronous) checks, and implement asynchronous large-scale monitoring for batch data flows.
• Manage the lifecycle of data quality models – including regular retraining, version control, and performance monitoring – to ensure quality checks remain effective as data evolves.
• Establish and publish data quality metrics and dashboards (e.g. completeness, timeliness, accuracy, consistency) to provide a transparent, measurable view of data health across the platform.
• Embed robust observability hooks and automated remediation processes into data pipelines, so that data issues are detected early and addressed proactively without manual intervention.

Leadership & Strategy

• Develop governance around model lifecycle for data quality — from training to deployment.
• Define and track KPIs for data quality and reliability.
• Partner with Data Platform Engineering, data governance, and analytics leads to embed quality monitoring throughout data flows.
• Demonstrated ability to lead and mentor engineering teams, establish high coding standards, and drive continuous improvement in platform reliability and developer efficiency.
• Excellent collaboration and communication skills, with comfort in bridging technical and business needs to deliver results!

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

About Us

BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals. People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.