Director, Data Engineering

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Posted
today

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Salary context

How this pay compares to similar roles

Similar $180k
$129k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $139,075–$221,887.

Based on 240 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 91 open roles on FindRole.

Listed pay typically runs $148,000–$180,000 across 87 roles with salary data.

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At a glance

TL;DR · Director, Data Engineering

We are seeking a Data Architect & Engineering Lead to drive the strategy and execution of our next-generation data platform, focusing on designing and implementing highly scalable, high-performance data systems for core investment and analytical capabilities. This role involves leading and mentoring a distributed team of engineers while overseeing the design and implementation of ETL/ELT pipelines using Snowflake, ensuring data quality and compliance at multi-terabyte scale. The ideal candidate will have expertise in modern cloud data architectures, experience with Azure or AWS, and proficiency in Python, SQL, and tools like Numpy, Pandas, Matplotlib, and Streamlit. They must also possess strong skills in database management, including PostgreSQL architecture, performance tuning, and monitoring, as well as the ability to integrate advanced analytics and ML workflows into our financial and capital markets products.

What you'll do

  • Lead and mentor a team of data and platform engineers, ensuring technical excellence.
  • Design and implement ETL/ELT pipelines using Cloud Data warehouses like Snowflake.
  • Integrate advanced data science workflows with cloud-native ML services for predictive models.
  • Translate complex business requirements into high-performance database solutions for stakeholders.
  • Guide best practices for cloud infrastructure management on Azure or AWS platforms.

What we're looking for

  • Over 15 years of experience in Data Engineering, Database Architecture, and Distributed Systems.
  • Proven expertise in modern data warehousing technologies, specifically Snowflake.
  • Strong background in cloud infrastructure (AWS or Azure) and containerized data services.
  • Demonstrated ability to design, tune, and optimize SQL queries for OLTP and OLAP systems.
  • Experience with full-stack data science tools like Numpy, Pandas, Matplotlib, and Streamlit.
  • Hands-on experience managing various database types at massive scale, including OLTP and cloud-native warehouses.

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