Lead Developer - Vice President

Data Engineer – AWS Native Data Platforms

About the Role

We are looking for aData Engineerto join BlackRock’s Technology & Operations organization, supporting the design, build, and operation ofourCloud‑nativedata platformthat power critical technology, security, and operational use cases across the firm.

This role sits within a team responsible for buildingreliable, secure, and observable data pipelinesin a highly regulated environment. You will work closely with technology, operations, and information security partners to deliver data products that enable transparency, automation, andrisk‑informeddecision making at scale.

The ideal candidate is an engineer at heart—comfortable workingend‑to‑endacross ingestion, transformation, orchestration, and governance—who values clean design, strong documentation, and operational excellence.

WhatYou’llDo

• Design, build, andmaintainAWS‑nativedata pipelinesfor batch andevent‑drivenworkloads, with a focus on reliability, scalability, and security.

• Develop andoperatedata workflows usingApache Airflowfor orchestration andPythonandSQLfor transformation and data quality logic.

• Implement data transformations and models usingmodern analytics engineering practices(e.g.,dbt‑stylepatterns, 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.

• Embeddata quality, lineage, and observabilityinto pipelines using testing frameworks and monitoring standards.

• Operate within BlackRock’scloud security and governance standards, including IAM, encryption, logging, andsecretsmanagement.

• Contribute to CI/CD pipelines,infrastructure‑as‑codepatterns, and standardized platform tooling.

• Document data products, pipelines, and operating procedures to support transparency andlong‑termmaintainability.

• Participate in design reviews, code reviews, and incident/post‑incidentanalysis to continuously improve platform resilience.

Core TechnologiesYou’llWork 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‑engineeringpatterns (e.g.,dbt‑likeworkflows)

• Data Quality & Testing: Schema and data validation frameworks (e.g., GreatExpectations‑styleapproaches)

• Infrastructure & Delivery: CI/CD,Git‑basedworkflows,infrastructure‑as‑code(Terraform or equivalent)

• Security & Governance: Encryption, access controls, audit logging, platform security baselines

WhatWe’reLooking For

• 7 years+ relevant experience as aData Engineer, Analytics Engineer, or similar role building production data pipelines.

• Stronghands‑onexperience withAWS‑nativedata servicesin a regulated or enterprise environment.

• ProficiencyinPython and SQL, with an emphasis on readable, testable, and maintainable code.

• Experience withworkflow orchestration(Airflow or equivalent).

• Solid understanding of data modeling, incremental processing, and performance optimization.

• Familiarity withdata quality, monitoring, and operational supportforproductiondata systems.

• Experience collaborating withcross‑functionalpartners (e.g., security, operations, product, or risk teams).

• A disciplined approach to documentation, change management, and incident response.

Nice to Have

• Experience supportingsecurity, risk, orcompliancedata domains.

• Exposure toOpenSearch / Elasticsearch, metrics pipelines, orlog‑analyticsplatforms.

• Familia