Vice President, Data Quality Platform

Posted An Hour Ago
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Mumbai, Maharashtra, IND
In-Office
Expert/Leader
Fintech • Information Technology • Financial Services
Bringing together tech and market expertise to help people build better financial futures.
The Role

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 platform—developing 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 (Open Container Initiative (OCI) container image packaging and runtime), and CI/CD pipelines Bachelor’s/Master’s 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 (distributed event streaming and messaging platforms or similar) for near-real-time quality detection Experience with Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling 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 Open Container Initiative (OCI) container image packaging and runtime / Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, 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

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.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


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.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

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.

Skills Required

  • 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, issue triage workflows, exception handling, 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 (Open Container Initiative (OCI) container image packaging and runtime), and CI/CD pipelines
  • Bachelor's/Master's in CS/Engineering or equivalent experience
  • Experience with data quality tools/frameworks (Great Expectations, Soda, dbt tests, Bigeye or equivalent)
  • Exposure to event-driven architectures (distributed event streaming and messaging platforms) for near-real-time quality detection
  • Experience with enterprise-grade container orchestration platforms and cloud-native platforms (AWS/Azure/GCP)
  • Understanding of Domain-Driven Design (DDD) around data domains and ownership boundaries

BlackRock Compensation & Benefits Highlights

  • Retirement Support The U.S. plan combines a 50% match on the first 8% of eligible pay you contribute with an additional 3–5% company retirement contribution, alongside an Employee Stock Purchase Plan. This structure is positioned as stronger than many large employers and stands out for long‑term savings in finance.
  • Parental & Family Support Paid parental leave includes at least 16 weeks at 100% for primary caregivers (and 4 weeks for non‑primary), with bereavement and miscarriage/stillbirth leave plus a flexible return‑to‑work transition. Family‑forming and caregiving resources include adoption support, fertility benefits, and back‑up child and elder care in some locations.
  • Healthcare Strength Offerings include comprehensive medical, dental, and vision plans, telemedicine, wellness incentives, gym discounts, EAP counseling, and free access to Calm. Some offices also provide onsite health services.

BlackRock Insights

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The Company
HQ: New York, New York
25,000 Employees
Year Founded: 1988

What We Do

As the world’s largest asset manager, BlackRock partners with investors around the globe to help them (and those on whose behalf they invest) plan for life’s most important goals – like retirement, home ownership and their children’s education. Our clients range from governments, foundations and other large institutions to those investing on behalf of individuals, including firefighters, nurses, teachers and factory workers. BlackRock was founded with the idea of creating a better asset management firm — one that was purpose-driven, focused on clients and risk management, and propelled by data and technology. Our breakthrough Aladdin® platform is BlackRock’s technological backbone, helping investors see and manage their whole portfolios in one place – from constructing investments to monitoring risk and executing trades. Used by hundreds of external institutions around the world, Aladdin combines powerful analytics and a common language to help investment teams make faster, more informed decisions across public and private markets. It’s a key part of our business and one of the reasons we’re trusted to manage more assets than any other investment manager today. At BlackRock, we challenge conventions and raise the bar for what’s possible. We harness technology to unlock new solutions, simplify complexity, and deliver investment strategies that meet people where they are. Whether it’s retirement planning, wealth building or navigating market shifts, we’re here to help clients invest more easily, more affordably and with more choice as we chart a path toward financial well-being together. Learn more: Careers.BlackRock.com

Why Work With Us

Without our people, technology is irrelevant. When we combine the power of people with the power of technology, we amplify our ability to create better outcomes for our employees, clients, shareholders and society alike.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

BlackRock has 25,000 employees across more than 100 offices in over 40 countries around the world.

Typical time on-site: 4 days a week
HQNew York, New York
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