Vice President Principal Data Engineer
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Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
About this role
Role Overview
Data and AI are central to our platform and competitive advantage. We are seeking a Senior / Principal Data Engineer (12 years) to design build and operate largescale enterprise data platforms with deep AI/ML and GenAI expertisenot only enabling AI use cases but using AI as a firstclass tool to design build and optimize data pipelines.
This role is a handson senior engineering position with architectural ownership operating at the intersection of data engineering AI/ML systems and platform modernization.
Key Responsibilities
Architect build deploy and operate scalable ETL/ELT data pipelines supporting analytics ML and GenAI workloads.
Use AI/ML and GenAI to design and build data pipelines including: AIassisted pipeline and schema design; AIgenerated and optimized transformation logic and code; automated test generation data validation and performance tuning; AIdriven documentation and operational runbooks.
Apply AI/ML techniques to automate data engineering workflows including ingestion schema evolution data quality checks anomaly detection and pipeline optimization.
Build and maintain feature engineering pipelines training datasets and feedback loops for production ML and GenAI systems.
Enable GenAI use cases including unstructured data ingestion retrieval pipelines (RAG) and governanceaware AI data flows.
Ensure enterprise standards for reliability observability lineage security and compliance across all data and AI pipelines.
Partner with product program analytics and AI teams in Agile delivery models to translate business needs into scalable AIenabled data solutions.
Provide senior technical leadership through architecture reviews mentoring and setting data & AI engineering standards.
Required Qualifications
12 years of experience owning and operating largescale data engineering platforms in production.
Strong handson expertise in Python and SQL with deep experience on cloud data platforms (AWS Azure or GCP).
Proven experience architecting distributed highperformance data systems.
Demonstrated experience using AI/ML or GenAI to design build or optimize data pipelines (not just consuming AI outputs).
Strong experience supporting ML/AI systems in production including feature pipelines data validation monitoring and retraining support.
Solid understanding of data modeling performance tuning DevOps/CICD and Agile delivery.
Excellent communication skills and ability to operate in fastpaced crossfunctional environments.
Preferred / Plus Skills
Experience with GenAI/LLM ecosystems (e.g. RAG vector data prompt or model lifecycle support).
Experience with microservices APIs and largescale analytics platforms.
Prior experience leading or mentoring senior engineers (playercoach model).
Experience working in financial services or regulated environments.
Why This Role
This role goes beyond traditional data engineering. You will use AI to fundamentally change how data pipelines are designed built and operated while delivering missioncritical data and AI platforms at enterprise scale.
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
BlackRocks 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 childrens 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. Its why were 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: is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age disability family status gender identity race religion sex sexual orientation and other protected attributes at law.
Required Experience:
Exec
Key Skills
About Company
BlackRock is one of the world’s preeminent asset management firms and a premier provider of investment management. Find out more information here.
