Lead Developer - Vice President

About the role

We are looking for a Data Engineer to join BlackRock's Technology & Operations organization, supporting the design, build, and operation of our Cloud ‑ native data platform that power critical technology, security, and operational use cases across the firm. This role sits within a team responsible for building reliable, secure, and observable data pipelines in a highly regulated environment. You will work closely with technology, operations, and information security partners to deliver data products that enable transparency, automation, and risk ‑ informed decision making at scale. The ideal candidate is an engineer at heart-comfortable working end ‑ to ‑ end across ingestion, transformation, orchestration, and governance-who values clean design, strong documentation, and operational excellence.

Responsibilities

• Design, build, and maintain AWS ‑ native data pipelines for batch and event ‑ driven workloads, with a focus on reliability, scalability, and security.
• Develop and operate data workflows using Apache Airflow for orchestration and Python and SQL for transformation and data quality logic.
• Implement data transformations and models using modern analytics engineering practices (e.g., dbt ‑ style patterns, tested transformations, incremental processing).
• Integrate data from a variety of enterprise sources, including cloud services, internal platforms, APIs, and security/operational telemetry.
• Partner with Information Security, Risk, and Operations teams to translate business and control requirements into durable data solutions.
• Embed data quality, lineage, and observability into pipelines using testing frameworks and monitoring standards.
• Operate within BlackRock's cloud security and governance standards , including IAM, encryption, logging, and secrets management.
• Contribute to CI/CD pipelines, infrastructure ‑ as ‑ code patterns, and standardized platform tooling.
• Document data products, pipelines, and operating procedures to support transparency and long ‑ term maintainability.
• Participate in design reviews, code reviews, and incident/ post ‑ incident analysis to continuously improve platform resilience.
• Core Technologies You'll Work With
• AWS : S3, IAM, Glue, Lambda, Step Functions, CloudWatch, Secrets Manager, OpenSearch, and related native services
• Orchestration : Apache Airflow
• Languages : Python, SQL
• Data Modeling & Transformation : Analytics ‑ engineering patterns (e.g., dbt ‑ like workflows)
• Data Quality & Testing : Schema and data validation frameworks (e.g., Great Expectations ‑ style approaches)
• Infrastructure & Delivery : CI/CD, Git ‑ based workflows, infrastructure ‑ as ‑ code (Terraform or equivalent)
• Security & Governance : Encryption, access controls, audit logging, platform security baselines

Requirements

• 7 years+ relevant experience as a Data Engineer , Analytics Engineer, or similar role building production data pipelines.
• Strong hands ‑ on experience with AWS ‑ native data services in a regulated or enterprise environment.
• Proficiency in Python and SQL , with an emphasis on readable, testable, and maintainable code.
• Experience with workflow orchestration (Airflow or equivalent).
• Solid understanding of data modeling, incremental processing, and performance optimization.
• Familiarity with data quality, monitoring, and operational support for production data systems.
• Experience collaborating with cross ‑ functional partners (e.g., security, operations, product, or risk teams).
• A disciplined approach to documentation, change management, and incident response.
• Experience supporting security, risk, or compliance data domains .
• Exposure to OpenSearch / Elasticsearch , metrics pipelines, or log ‑ analytics platforms.
• Familiarity with cloud security controls , IAM design, and secrets management.
• Experience building data platforms that support executive ‑ level reporting or regulatory oversight.

Benefits

Additional Information

About this role Data Engineer - AWS Native Data Platforms

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