Vice President, Data Quality Platform

About this role

About this role

Our Data Quality Platform is a critical component of the Aladdin Data ecosystem ensuring that data powering investment analytics and business workflows is accurate consistent and trustworthy at scale. The platform provides a unified framework for data profiling validation reconciliation observability and governance across high-volume financial datasets.

What You will do

As a Vice President Aladdin Data Quality Platform you will play a key role in building and evolving this platformdeveloping scalable services and frameworks that proactively measure enforce and monitor data quality across the enterprise. You will help create a seamless and extensible system that integrates with upstream and downstream data platforms enabling continuous data reliability.

Key Responsibilities

• Build and scale data quality services and APIs that provide rule execution scoring and quality SLAs for datasets and domains

• Define and implement data quality frameworks: rules engine patterns validation layers quality gates and exception workflows

• Establish data profiling and anomaly detection capabilities (completeness distribution drift outliers schema drift)

• Implement reconciliation controls (source-to-target balancing row counts sums/hashes financial totals checks)

• Design metadata-driven quality rules: configurable rules versioning ownership and auditable execution history

• Engineer quality controls across ingestion/processing:

  • schema enforcement type checks nullability constraints

  • referential integrity checks

• Support data lineage and traceability and data observability:

• Optimize high-volume query workloads in Snowflake/MSSQL while maintaining consistent quality checks at scale

• Partner with platform governance and product teams to drive long-term strategy for trusted data quality services

• Mentor engineers and influence architectural direction for enterprise-grade data quality platforms

Required Qualifications

• 10 years of backend/data platform engineering with strong hands-on development

• Deep expertise in Python and modern API frameworks such as FastAPI

• Strong experience building scalable services for data platforms (APIs pipelines controls)

• Strong hands-on experience with Snowflake and/or MSSQL including performance tuning

• Proven experience implementing data quality controls across batch and/or streaming pipelines

• Experience with data quality operating models:

  • quality SLAs/SLOs (freshness accuracy completeness)

  • issue triage workflows exception handling and remediation

• Strong knowledge of data modelling (relational dimensional analytical) and model validation techniques

• Experience designing reconciliation frameworks and audit-grade controls (esp. for financial data)

• Familiarity with distributed systems containerization (Docker) and CI/CD pipelines

• Bachelors/Masters in CS/Engineering or equivalent experience

Preferred Qualifications

• Experience with data quality tools/frameworks (any of):

  • Great Expectations Soda dbt tests Bigeye(or equivalent in-house frameworks)

• Exposure to event-driven architectures (Kafka or similar) for near-real-time quality detection

• Experience with Kubernetes and cloud-native platforms (AWS/Azure/GCP)

• Understanding of Domain-Driven Design (DDD) especially around data domains and ownership boundaries

Technical Skills

• Python FastAPI

• Snowflake MSSQL

• Data Quality Framework Design (rules scoring gates)

• Data Profiling Validation Reconciliation

• Metadata-driven systems (rule catalogs versioning audit)

• Data Observability (freshness volume schema drift SLAs)

• Data Lineage & Governance integrations

• Data Pipelines (ETL/ELT; batch/streaming)

• High-Volume Query Optimization

• Docker / Kubernetes CI/CD

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

BlackRocks 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 childrens 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. Its why were 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: 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.