Senior Manager, Data Engineering

The Nuclear Company•Washington, DC

3d•$179,000 - $203,000

About The Position

The Senior Manager, Data Engineering is responsible for the technical implementation of TNC's data engineering platform. Reporting to the Head of Product Engineering, the Senior Manager translates the company’s strategy into working systems and leads the engineering team that builds and operates them. Because TNC does not currently maintain a single centralized data platform, the Senior Manager will construct this capability from the ground up, and is accountable for the detailed technical design, delivery, quality, and ongoing operation of everything that is built.

Requirements

Bachelor's degree and a minimum of 8 years related work experience or equivalent combination of education and work experience, including a minimum of 3 years supervising data engineers.
Experience designing, building, and operating production data platforms in a cloud environment.
Experience supervising, mentoring, and developing engineering staff.
Experience with SQL and at least one general-purpose programming language (e.g. Python).
Knowledge of distributed data processing, data modeling, and the operational characteristics of batch and streaming systems.
Love Claude Code/agentic software creation while understanding the criticality of test development.
Experience deploying infrastructure through code and applying software development practices including version control, code review, and automated testing to data systems.
Experience communicating technical concepts and tradeoffs to non-technical audiences.
Experience with data quality and observability tooling.
Experience managing cloud infrastructure costs.
Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work.
Every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.
People who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before.
Team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards.
Values: Transparency, Responsibility, Unity, Scrappy, and Tenacity, guide how we hire, collaborate, and make decisions every day.
TRUST is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.

Nice To Haves

Experience establishing data infrastructure where limited or no prior capability existed.
Experience advising on how to construct data structures for long term flexibility and performance.
Experience with Amazon Web Services data services.
Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
Experience with data transformation and modeling tools such as dbt, and with lakehouse table formats such as Iceberg.
Experience with infrastructure-as-code and continuous integration tools such as Terraform, CDK, CloudFormation, or GitHub Actions.
Experience with streaming platforms such as Kafka, Flink, or Spark Structured Streaming.
Experience working with geospatial data.
Experience with Palantir.
Self-starting, independent worker who can collaborate effectively in a team, and thrive in a decentralized organization with minimal oversight.

Responsibilities

Makes the engineering decisions required to realize the platform strategy, including detailed data model design, tooling selection, pipeline design, deployment approach, and the technical standards the team works to.
Sequences and manages delivery so that our teams permitting and building nuclear power plants receive the data they need to succeed.
In the early phases of the role they will personally develop production pipelines, and will convert that work into the reusable components, testing standards, and code review practices the broader team adopts.
Recruits, supervises, and develops a team of data engineers proportional to TNC’s needs.
Sets performance expectations, conducts career development conversations, and is accountable for the team's delivery and technical quality.
Implements and enforces data quality practices including automated testing, data contracts, lineage tracking, and monitoring.
Responsible for implementing the access control, personally identifiable information handling, retention, and audit requirements defined for all data at TNC.
Manages the platform's cloud expenditure against an established budget and identifies opportunities to improve the balance of cost and performance.
Works closely with staff across TNC's business units to gather requirements, translate them into technical specifications, and advise stakeholders when a proposed approach is unlikely to achieve the intended outcome.