Senior Data Engineering Manager

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$125,300–$233,000 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $179k
$112k most similar roles pay here $246k

This role pays more than 54% of similar roles. Most pay $148,240–$216,000 — the shaded band above. At the midpoint, this role pays about $179k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Senior Data Engineering Manager

As a Data Engineering Senior Manager, you will lead and coach a team of five experienced engineers to build and operate data pipelines powering enterprise analytics for a Fortune 500 company. You will be responsible for the team’s technical roadmap, delivery commitments, and stakeholder communications while establishing engineering standards for architecture, code quality, and production support. The role involves developing scalable data products using Databricks and Apache Spark, managing ETL/ELT pipelines, and implementing DataOps practices like CI/CD, automated testing, and data observability. You will utilize Python and SQL to translate business priorities into actionable technical plans. Key responsibilities include fostering a product-oriented data platform, improving delivery predictability, and overseeing the processing of structured and unstructured data while ensuring high standards for security, governance, and long-term maintainability across various data layers.

What you'll do

  • Lead, coach, and develop a team of five experienced data engineers through goal setting and career development.
  • Translate business priorities into an actionable technical roadmap for high-visibility analytics programs.
  • Provide technical direction and guidance on architecture, design decisions, and trade-offs for Databricks-based data products.
  • Establish engineering standards for code quality, testing, documentation, security, and production support.
  • Develop reusable pipeline patterns and automation to improve delivery speed, reliability, and scalability.
  • Advance DataOps practices including CI/CD, automated testing, data quality monitoring, and incident response.
  • Manage stakeholder communications and coordinate with product owners, architects, and analysts to manage dependencies and risks.
  • Evaluate and implement new technologies and AI-assisted engineering practices to improve team effectiveness.

What we're looking for

  • U.S. citizenship is required.
  • 10+ years of experience in data engineering, data science, data platform development, or enterprise data delivery.
  • Experience managing and leading teams of technical professionals including coaching, performance feedback, and delivery accountability.
  • Experience developing and operating data solutions using Databricks and Apache Spark.
  • Experience designing and maintaining scalable ETL/ELT pipelines with Python and SQL.
  • Experience with software engineering and DataOps practices including CI/CD, automated testing, and production support.
  • Experience with advanced Databricks features, medallion architecture, or AI-assisted engineering tools (preferred).
  • Bachelor's degree.

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