Data Platform Leader: Senior Engineer, Pipelines & AI

Booz Allen Hamilton; North Dakota; On-site; USD 125,000 - 233,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineering Senior Manager to lead a team of senior data engineers building and operating enterprise data pipelines in Databricks. You will set direction, align priorities, remove delivery barriers, and empower engineers to own outcomes while maintaining standards for architecture, code quality, testing, and production support.

You will shape the team’s technical roadmap, collaborate with product owners and stakeholders, and drive DataOps practices to

Qualifications

• 10+ years of experience in data engineering, data science, data platform development, or enterprise data delivery.
• Experience managing or leading teams of experienced technical professionals, including coaching, performance feedback, work prioritization, and delivery accountability, and providing technical leadership for complex, enterprise-scale data platforms and data products
• Experience developing and operating data solutions using Databricks and Apache Spark
• Experience designing and maintaining scalable ETL and ELT pipelines, including curated or gold-layer data products
• Experience with data modeling, data warehousing, and the processing of structured and unstructured data
• Experience with Python and SQL
• Experience with software engineering and DataOps practices, including source control, code review, automated testing, CI/CD, monitoring, and production support
• Ability to balance delivery speed with data quality, reliability, governance, security, and long-term maintainability
• Ability to communicate technical concepts, risks, priorities, and tradeoffs to engineering teams, business stakeholders, and senior leaders
• HS diploma or GED

Responsibilities

• Lead, coach, and develop a team of five highly experienced data engineers, including setting goals, providing feedback, supporting career development, and fostering a culture of accountability and continuous improvement.
• Own the team’s delivery commitments, technical roadmap, operating rhythm, and stakeholder communications.
• Provide technical direction for data pipelines and enterprise data products developed in Databricks.
• Empower engineers to operate autonomously while maintaining clear standards for architecture, code quality, testing, documentation, deployment, security, and production support.
• Guide architecture and design decisions, evaluate technical tradeoffs and help the team resolve complex engineering and operational challenges.
• Establish reusable engineering patterns and automation that improve delivery speed, reliability, maintainability, and scalability.
• Advance modern DataOps practices, including CI/CD, automated testing, data quality monitoring, observability, release management, and incident response.
• Partner with business and technical stakeholders to prioritize work, manage dependencies, communicate risks, and translate strategic objectives into executable plans.
• Evaluate and introduce new technologies and engineering practices that improve team effectiveness and create measurable business value.

Skills

Data engineering leadership

Databricks

Apache Spark

Python

SQL

Data modeling

ETL pipelines

ELT pipelines

CI/CD

Data quality

Stakeholder comms

Leadership

Education

HS diploma or GED

Tools

Databricks

CI/CD tooling

Job description

Booz Allen Hamilton is seeking a Data Engineering Senior Manager to lead a team of senior data engineers building and operating enterprise data pipelines in Databricks. You will set direction, align priorities, remove delivery barriers, and empower engineers to own outcomes while maintaining standards for architecture, code quality, testing, and production support.

You will shape the team’s technical roadmap, collaborate with product owners and stakeholders, and drive DataOps practices to