About this role
Description: The VP, Snowflake Data Architect will design and build BlackRock’s enterprise data warehouse capabilities supporting one or more domains (e.g., HR, Finance, Legal & Compliance). This role is accountable for defining and implementing scalable, secure and regulatory-compliant Snowflake architectures that enable trusted analytics, operational reporting and strategic decision-making across sensitive and highly governed business functions.
This candidate will serve as the senior data architecture authority for one or more domains, establishing enterprise data models, governance frameworks and engineering standards. This individual will partner with senior stakeholders across BlackRock businesses and technology to translate complex regulatory and business requirements into sustainable data platform solutions.
The role requires deep expertise in Snowflake architecture, enterprise data modeling and large-scale data transformation programs.
Enterprise Data Architecture & Strategy
Define and execute the target-state architecture for BlackRock’s business data domains in Snowflake
Establish enterprise data modeling standards and architectural patterns
Design scalable, secure and cost-efficient multi-account Snowflake architectures aligned with BlackRock’s enterprise cloud strategy
Develop data models, conformed dimensions and golden source strategies across regulated domains
Provide expertise for the development of a multi-year data warehouse transformation roadmap
Define enterprise architecture patterns for AI-ready data models, ensuring structured and unstructured data are optimized for advanced analytics and generative AI use cases
Snowflake Platform Architecture & Governance
The role includes overseeing definitions for RBAC models, security, dynamic data masking, and secure data sharing, etc.
Support BlackRock’s governance frameworks to ensure legal and regulatory compliance, audit traceability, data lineage and retention policies
Establish cost governance, performance engineering standards and warehouse optimization strategies
Define and oversee monitoring, observability and data quality control across the platform
Design and implement Snowflake Cortex capabilities (LLM functions, AI_SQL, document intelligence and vector functions) to enable secure AI-driven analytics within the HR, Finance and Legal and Compliance domains
Oversee secure data pipelines to support AI/ML workloads, including vector embeddings, semantic search and unstructured data processing within Snowflake
Ensuring adherence to BlackRock’s governance, access controls and monitoring frameworks for AI-enabled data products
Integration of Snowflake Native Apps and Snowpark ML capabilities to extend platform intelligence while maintaining enterprise security standards
Data Modeling & Design
Lead logical and physical data model design for one or more business domains, including HR (workforce planning, compensation, payroll), finance (GL, sub-ledger, cost centers, entity hierarchies) and legal & compliance datasets
Implement SCD strategies, historical tracking models and audit-compliant lineage frameworks
Evaluate and apply appropriate modeling paradigms
Ensure traceability of data transformations to support SOX and regulatory reporting controls
Engineering & Delivery Oversight
Oversee the design of scalable ingestion and transformation frameworks leveraging ELT tools (e.g., dbt, Fivetran)
Establish data testing, validation, reconciliation and observability standards
Guide orchestration strategies (Airflow or equivalent) for reliable and resilient data pipelines
Drive performance tuning initiatives using Snowflake query profiling, clustering strategies and concurrency scaling design
Stakeholder Leadership & Operating Model
Serve as the primary technical advisor to business leadership on data strategy
Lead architecture review boards and set development standards across engineering teams
Mentor data engineers, fostering technical excellence and architectural consistency
Education
Bachelor’s degree in computer science, engineering, information systems or related quantitative discipline required
Advanced degree (Master’s or MBA) preferred
SnowPro Advanced Certification is preferred
Experience
10+ years of enterprise data architecture and data warehousing experience
5+ years designing and leading Snowflake implementations at scale in production environments
Demonstrated experience designing and delivering enterprise-wide data warehouse solutions
Proven leadership of large-scale data transformation initiatives within regulated financial services environments
Experience designing governance, security, and compliance frameworks in cloud-based data platforms
Skills
Technical Expertise
Deep expertise in Snowflake architecture, including storage/compute separation, micro-partitioning, clustering, performance tuning and cost optimization
Advanced knowledge of dimensional modeling and enterprise data architecture patterns
Strong command of SQL and data transformation engineering best practices
Experience implementing CI/CD pipelines, Infrastructure-as-Code, and DevOps frameworks for data platforms
Proficiency with modern ELT/ETL tools (dbt / Fivetran preferred), orchestration frameworks and data quality tooling
Strong understanding of cloud ecosystems (AWS, Azure or GCP) and enterprise data integration patterns
Experience implementing Snowflake Cortex Snowpark (Python), and AI_SQL capabilities in production environments
Strong understanding of vector databases, embeddings, semantic search and retrieval-augmented generation (RAG) patterns
Familiarity with responsible AI frameworks, model governance and secure deployment of LLM-powered enterprise solutions
Experience enabling AI/ML workloads directly within Snowflake’s native ecosystem
Governance & Regulatory
Expertise in data classification, PII handling, row-level security and dynamic masking policies
Familiarity with SOX controls, audit frameworks, data retention policies and regulatory reporting requirements
Experience designing end-to-end lineage and traceability frameworks
Leadership & Strategic Capabilities
Ability to define enterprise data strategy and influence senior stakeholders
Strong executive communication skills, including the ability to present architectural strategy to leadership
Experience leading architecture governance forums and cross-functional engineering teams
Demonstrated ability to align technical platforms with long-term business objectives
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 workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.Want to know if this job is worth applying to?
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