Forward Deploy Engineer, Aladdin Data, Associate

Role Overview

BlackRock's Enterprise Data Platform (EDP) is the firm's strategic foundation for how data products are built, governed, and consumed at scale. Data Platform as a Service (DPaaS) is a core capability within EDP, designed to make data product creation fast, reliable, and repeatable. As a Forward Deploy Engineer on the DPaaS team, you will deploy by embedding directly with teams across the firm, solving real production data problems, and building solutions that enhance the platform.

Responsibilities

• Forward Deployment & Data Product Onboarding: Embed directly with partner engineering and data teams to drive end-to-end data product onboarding onto DPaaS, from source configuration through to production.
• Work hands-on with teams to define data product structure including schema, ownership, SLAs, quality expectations, and governance attributes.
• Support onboarding of both structured and unstructured data products.
• Troubleshoot onboarding failures across infrastructure, pipeline, and data layers in real time.
• Run technical onboarding sessions and workshops.
• Enable partner teams to self-serve on data product creation over time.
• Solution Development & Platform Contribution: Develop reusable data product accelerators including pipeline templates, configuration generators, and schema mapping utilities.
• Build custom acquisition connectors, ingestion templates, and transformation scaffolding for both structured and unstructured data.
• Contribute to core DPaaS platform engineering efforts including new feature development and framework improvements.
• Client Enablement: Act as a trusted technical advisor on data product design and onboarding best practices.
• Run office hours, enablement sessions, and targeted training.
• Document onboarding patterns, common failure modes, and solutions into reusable playbooks.
• Capture and channel structured feedback from onboarding engagements into the DPaaS product and engineering roadmap.
• AI Assisted Development & Intelligent Data Product Onboarding: Use AI assisted coding tools as a core part of daily workflow.
• Build and contribute to AI assisted onboarding workflows leveraging schema inference, automated attribute mapping, and AI driven data profiling.
• Implement emerging AI tooling including Model Context Protocol (MCP), AI agents, and Copilot extensions.
• Feedback Loop & Platform Evolution: Translate real onboarding experiences into structured product feedback that drives platform improvements.
• Work closely with DPaaS product, engineering, and infrastructure teams to close the loop between partner needs and platform capabilities.
• Navigate and operate across the full DPaaS technology stack including structured and unstructured data pipelines, Azure Data Lake Storage, Snowflake, Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, and Vault.
• Validate data product correctness and pipeline integrity across raw, staging, and curated data layers.

Requirements

The job description provided does not contain a specific 'Required Qualifications' section, but the responsibilities imply strong experience with data platforms, cloud technologies, and modern development practices.