Senior Data Platform Engineer, Air Dominance & Strike

About the Team

The goal of Andurils Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury) missiles such as RoadRunner and Barracuda and the Mission Autonomy software that is the brain of these products.

Were in a race to build these products at scale. We need resilience in our supply chain accelerate our ramp to production iterate on design and quality through our test program and ensure were maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

About the Role

We are seeking a Senior Data Platform Engineer to design build and operate the foundational data infrastructure that powers the Air Dominance & Strike this role you will be the architect of a scalable reliable and easy-to-use platform that enables analytics engineers data scientists software engineers flight test engineers and field operators to build high-impact analyses and data-driven applications across the product lifecycle from design and manufacturing through flight test and field operations.

You will combine deep expertise in data pipelines cloud infrastructure DevOps and modern data systems to create a cohesive ecosystem that serves test data infrastructure fleet management production analytics and more. Applying Site Reliability Engineering (SRE) principles will be key to ensuring the performance and availability of these critical systems which operate in both commercial cloud and classified environments. You will collaborate closely with platform users embedding with engineers to understand their workflows and remove friction ensuring our data capabilities are a force multiplier for the entire division. Your ability to deploy and maintain these mission-critical solutions will be essential with occasional travel required for real-world implementation and support.

What Youll Do

• Lead the design development and maintenance of a scalable self-service data platform that serves as the foundation for analytics and data applications across the organization
• Architect and manage the underlying cloud infrastructure using Infrastructure-as-Code (Terraform) containerization (Docker Kubernetes) and CI/CD best practices to support the data platform
• Design and implement solutions for multi-server data access in disconnected and intermittently-connected environments including conflict resolution and merging on reconnect
• Build robust ETL/ELT pipelines in Python (e.g. Polars) leveraging modern DAG-based orchestrators and parallelization techniques to process data
• Implement agentic data processing workflows with strong guardrails validation and human-in-the-loop controls to ensure safe and reliable automation
• Build ML-ready feature sets and deploy validated models into production in environments where data quality and integrity are paramount
• Partner with and empower platform users including analytics engineers data scientists and software engineers by providing robust tooling clear documentation and a seamless developer experience
• Apply SRE principles to ensure the data platform is highly available performant and observable establishing SLOs automating operational tasks and leading incident response
• Evolve the platforms architecture by evaluating and integrating new technologies from the modern data stack to meet the ever-changing needs of the business

Who You Are

• 5 years of experience in a combination of data platform engineering cloud infrastructure DevOps or SRE roles
• 5 years experience in technical operating roles
• Leader - Youre skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical Stakeholders
• Hands-on experience building and maintaining platforms with key components of the modern data stack such as data lakehouse technologies (e.g. Apache Iceberg) query engines (e.g. Trino/Presto AWS Athena) transformation tools (e.g. dbt) and real-time stream & batch processing platforms (e.g. Apache Kafka Apache Spark)
• Experience with Infrastructure-as-Code (IaC) particularly Terraform for managing complex cloud environments (e.g. AWS Azure GCP)
• Strong proficiency in DevOps and software deployment practices including containerization and orchestration (e.g. Docker Kubernetes Helm) GitOps & CI/CD tooling (e.g. ArgoCD CircleCI) and observability/monitoring/APM platforms (e.g. Datadog Grafana)
• Procedural fluency in writing debugging profiling testing and maintaining performant Python and SQL code
• Experience with data pipeline orchestration tooling (e.g. Flyte Airflow Dagster)
• Experience writing code in another language (e.g. Go Java Scala JavaScript/TypeScript)
• Proof of delivery youve owned a project end-to-end from ambiguity to delivered scalable outcome
• Strong communicator demonstrated aptitude for strategic partnerships and communication with both technical and non-technical stakeholders
• Engineering fundamentals Computer Science Engineering Physics or similar background
• Exceptional problem-solving and critical-thinking skills with the ability to architect robust technical solutions for ambiguous and dynamic platform requirements
• Energized by business impact and a self-starter mindset: youd rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Eligible to obtain and maintain an active U.S. Department of Defense (DOD) Secret Clearance or higher and comfort operating in air-gapped classified and/or other highly constrained network environments

Preferred Qualifications

• Exposure to enterprise data/ontology platforms (e.g. Palantir Foundry Redshift Looker Tableau)
• Experience setting up and managing infrastructure to support analytical workloads on-premises or in resource-constrained environments
• Experience working with specialized data formats (e.g. MCAP HDF5) common in domains like robotics aerospace and flight test
• Experience with the Nix (dependency management & system configuration) ecosystem
• Prior hardware defense aerospace or intelligence domain experience
• Extensive experience with Infrastructure-as-Code (IaC) particularly Terraform for managing complex cloud environments (e.g. AWS Azure GCP)

The salary range for this role is an estimate based on a wide range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

Benefits

At Anduril we invest in our people. Our comprehensive competitive benefits package (available at little to no cost to employees) ensures youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.

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