Job Description
Senior Data Architect/Data Engineer Aladdin Engineering - Vice President
About this role
About this Role:
At BlackRock technology is the foundation of our business. As a Data Engineer you’ll build resilient systems that power our global post-trade operations. You’ll design and deliver enterprise-scale software with a focus on reliability performance and clean engineering practices.
This role is ideal for engineers who like to innovate and solve complex challenges while fostering a culture of excellence and continuous improvement.
About Post Trade Accounting (PTA):
- A major strategic area within Aladdin and one of BlackRock’s largest engineering investments.
- Responsible for the systems that ensure accurate scalable and efficient accounting across global operations.
- Expanding into data analytics and pipeline initiatives using Snowflake Redis and Kafka to manage high-volume real-time data.
- Collaborates closely with Product Operations and other Engineering teams to deliver business-critical capabilities.
- Agile and collaborative environment that values technical depth quality and innovation.
Key Responsibilities:
- Partner with domain experts product and engineering teams to design canonical data models (conceptual → logical → physical) that power trusted reporting analytics and downstream integrations.
- Build and evolve analytics-ready datasets in Snowflake (curated layers / data marts) including clear metric definitions (grain dimensions measures) that enable consistent enterprise reporting.
- Design and develop reliable ELT/ETL pipelines across Snowflake and SQL Server to support both scheduled batch loads and low-latency ingestion where needed.
- Implement robust pipeline patterns such as incremental processing idempotency (replay-safe loads) deduplication and backfill/reprocessing strategies.
- Establish and enforce data quality and observability practices (freshness completeness accuracy checks; alerting; runbooks; SLAs) to keep data products production-grade.
- Optimize analytical performance and cost by applying Snowflake best practices (clustering/partition strategies materializations query optimization) and SQL Server performance tuning where appropriate.
- Publish curated data to downstream systems and serving layers when needed (e.g. search indices like Elasticsearch and operational stores like Cosmos DB) with clear contracts and monitoring.
- Drive best practices for documentation lineage schema evolution and secure handling of sensitive data (PII) in collaboration with platform and governance partners.
Qualifications / Competencies:
- B.S./M.S. in Computer Science Engineering or related discipline (or equivalent practical experience).
- 8+ years of experience building production data systems with demonstrated ownership of data modeling and data pipeline engineering.
- Strong SQL skills (advanced querying query plans performance tuning) with hands-on experience in Snowflake and/or Microsoft SQL Server.
- Proven experience with data modeling for analytics (dimensional modeling / star schemas conformed dimensions slowly changing dimensions) and translating business concepts into robust schemas.
- Hands-on experience designing and implementing ELT/ETL pipelines including batch and near-real-time patterns.
- Proficiency in at least one general-purpose language used for data engineering (e.g. Python Java or Scala) for automation orchestration and integrations.
- Working knowledge of modern data engineering practices: testing for transformations CI/CD environment promotion and operational monitoring.
- Strong communication skills and comfort collaborating with domain experts to turn ambiguity into clear implementable data products.
Nice to Have:
- Experience with transformation and modeling frameworks (e.g. dbt) and/or a semantic/metrics layer approach.
- Exposure to orchestration tools (e.g. Airflow Dagster Prefect) and patterns for dependency management and backfills.
- Streaming and event-driven data experience (e.g. Kafka CDC patterns) and understanding of late-arriving data watermarking and replay.
- Experience integrating downstream serving/search systems (e.g. Elasticsearch) and operational datastores (e.g. Cosmos DB).
- Familiarity with data governance and observability tooling (catalog/lineage OpenLineage-style concepts data quality frameworks).
- Cloud-native exposure (Docker/Kubernetes AWS/Azure/GCP) and infrastructure-as-code (Terraform).
- Interest in financial systems accounting or investment technology.
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 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 [email protected]. 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.Skills Required
- B.S./M.S. in Computer Science Engineering or related field (or equivalent experience)
- 8+ years building production data systems with ownership of data modeling and pipelines
- Strong SQL skills including advanced querying query plans and performance tuning
- Hands-on experience with Snowflake and/or Microsoft SQL Server
- Experience with data modeling for analytics (dimensional modeling star schemas SCDs)
- Designing and implementing ELT/ETL pipelines including batch and near-real-time patterns
- Proficiency in at least one general-purpose language for data engineering (Python Java or Scala)
- Working knowledge of modern data engineering practices: testing transformations CI/CD environment promotion operational monitoring
- Strong communication and collaboration skills to partner with domain experts and product teams
- Experience with transformation frameworks (e.g. dbt)
- Exposure to orchestration tools (Airflow Dagster Prefect) and backfill patterns
- Streaming/event-driven data experience (Kafka CDC patterns) and handling late-arriving data
- Experience integrating downstream serving/search systems (Elasticsearch) and operational datastores (Cosmos DB)
- Familiarity with data governance and observability tooling (catalog/lineage OpenLineage concepts data quality frameworks)
- Cloud-native exposure (Docker/Kubernetes AWS/Azure/GCP) and infrastructure-as-code (Terraform)
- Interest or experience in financial systems accounting or investment technology
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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