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Lead, Technology Strategy & Innovation
Alquemy Search & Consulting
Toronto, ON
- Contract
One of Alquemy's clients, a pension fund in downtown Toronto, is looking to hire a Lead, Technology Strategy & Innovation (AI & Transformation)
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RQ11491 - Product Manager - Senior
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Xanadu

Data Platform Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 4, 2026

Original job description

About Xanadu:
Xanadu’s 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 world’s most challenging problems and literally change the world. And that is something to be excited about!

Your role and responsibilities:
As a Data Platform 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.This is a high-complexity, moderate-volume problem. Terabytes, not petabytes. Different heterogeneous measurement types, not billions of uniform events.

Your responsibilities will be:

Design, build and maintain a robust cloud data infrastructure (ingestion, transformation, serving) that will serve multiple engineering team across the organization
Own the data architecture: layering, schema and contract design, materialization strategy, query performance.
Understand and consolidate existing data workflows and pipelines spanning R&D, manufacturing, and business analytics
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
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 from the ground up
Strong software engineering: Python packaging, testing, CI
Production experience designing and operating data lake or lakehouse architectures (Delta Lake, Iceberg, or Hudi)
Hands-on experience with modern data stack tooling (dbt or similar) and orchestration (Airflow, Dagster, Prefect)
Strong SQL 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.

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.

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More about this job

Responsibilities

You will design, build, and maintain a robust cloud data infrastructure while defining data models to support research and business analytics. Additionally, you will establish data governance foundations and mentor engineers to drive best practices in data reliability and quality.

Requirements

The role requires 7+ years of data engineering experience, including 2+ years in a lead or architect capacity. Candidates must have strong software engineering skills, proficiency in cloud data platforms, and experience with modern data stack tooling.

Skills

Data engineering
Python
Cloud infrastructure
Data architecture
SQL
Data lake
Delta Lake
Iceberg
Hudi
Dbt
Airflow
Dagster
Prefect
Infrastructure-as-code
CI/CD
Data governance

Benefits

Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Platform Engineer
Quantum Computing
Cloud Infrastructure
Data Pipelines
Python
Data Lake
Lakehouse
Delta Lake
Iceberg
Hudi
Dbt
Airflow
Dagster
Prefect
SQL
Infrastructure-as-code
CI/CD
Data Governance
Data Modeling
R&D
Manufacturing
Business Analytics
Time-series data
HDF5
Parquet
LIMS
Data Reliability
Observability
Technical Debt
Cross-functional

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