Lead Data Engineer

About Xanadu:

Xanadus mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu we are learners innovators researchers collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard the classic moon shot. Few people in their life will be able to be a part of something like this where if we are successful the technologies we develop will solve some of the worlds most challenging problems and literally change the world. And that is something to be excited about!

Your role and responsibilities:

As a Lead Data Engineer you will take Xanadus existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers data scientists and finance analysts youll define how data flows across the organization and build the infrastructure that enables data-driven decisions at every level. This is a hands-on technical role first you will be the first dedicated data engineer with the opportunity to build a data team around you.

• Lead technical design and delivery of data pipelines spanning R&D manufacturing and business analytics
• Build and scale robust cloud data infrastructure (ingestion transformation serving)
• Define data models in collaboration with researchers and analysts to ensure scientific and business data is stored correctly and queryable
• Establish data governance foundations: lineage cataloging access control and quality monitoring
• Drive best practices across code quality testing data reliability and observability
• Balance new development platform improvements and technical debt reduction
• Leverage AI-assisted tooling to accelerate engineering productivity
• Mentor and provide technical guidance to engineers across the organization as the practice grows

Basic qualifications and experience:

• 7 years in data engineering with 2 years in a lead or architect capacity
• Deep experience building and scaling data platforms in the cloud (e.g. Databricks Snowflake)
• Production experience designing and operating data lake or lakehouse architectures (Delta Lake Iceberg or Hudi)
• Expertise in distributed systems and data integrity at scale
• Hands-on experience with modern data stack tooling (dbt Fivetran or similar) and orchestration (Airflow Dagster Prefect)
• Strong SQL and Python skills
• Knowledge of infrastructure-as-code and CI/CD for data pipelines
• Proven ability to drive technical standards and engineering improvements across teams
• Experience working with cross-functional teams especially R&D or science teams producing unstructured or semi-structured data

Preferred qualifications and experience:

• Experience in a deep-tech hardware or semiconductor environment where data originates from physical measurement systems
• Familiarity with time-series or scientific data formats (HDF5 Parquet for measurement traces etc.)
• Prior experience as the first data engineer building a practice from scratch not inheriting one
• Familiarity with LIMS systems or laboratory data workflows

This is for a new position. Your base salary will be determined based on your location experience and internal benchmarks. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive safe and equitable culture and fostering an environment where our employees feel included valued and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at .

Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Manager