- Company NameXanadu Quantum Technologies Inc.
- Job TypeFull-Time
- AddressToronto, ON
As a Lead Data Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and finance analysts, you'll 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 recruiting@xanadu.ai.
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