Lead Data Engineer

Job Description

Job Title: Lead Data Engineer. Location: Toronto, Ontario, Canada

Responsibilities:

• Lead the technical design and delivery of data pipelines supporting R&D, manufacturing, and business analytics
• Build and scale cloud-based data infrastructure for data ingestion, transformation, and serving;
• Define data models with researchers, analysts, and technical teams to ensure accurate and accessible data storage
• Establish data governance practices including lineage tracking, cataloging, access control, and quality monitoring
• Drive best practices for code quality, testing, data reliability, and observability
• Balance new platform development, infrastructure improvements, and technical debt reduction
• Utilize AI-assisted tooling to improve engineering productivity;
• Mentor engineers and provide technical leadership as the data engineering function grows
• Support data-driven decision-making across scientific, operational, and business teams

Qualifications:

• 7+ years of experience in data engineering
• 2+ years of experience in a lead or architect role
• Strong experience building and scaling cloud-based data platforms
• Experience with Databricks, Snowflake, or similar cloud technologies;
• Experience designing and operating data lake or lakehouse architectures such as Delta Lake, Iceberg, or Hudi
• Expertise in distributed systems and maintaining data integrity at scale
• Experience with modern data engineering tools such as dbt, Fivetran, Airflow, Dagster, or Prefect
• Strong Python and SQL programming skills;
• Knowledge of infrastructure-as-code and CI/CD practices
• Proven ability to establish technical standards and improve engineering processes
• Experience collaborating with R&D, scientific, or cross-functional teams handling complex datasets

Preferred:

• Experience in a deep-tech, hardware, semiconductor, or scientific research environment
• Familiarity with data generated from physical measurement systems
• Experience working with scientific and time-series data formats such as HDF5 and Parquet
• Experience building a data engineering function from the ground up;
• Familiarity with laboratory information management systems (LIMS) and laboratory workflows

Benefits And Compensation:

• Competitive base salary based on location, experience, and internal benchmarks
• Equity participation opportunities
• Comprehensive employee benefits package;
• Opportunity to work on advanced quantum computing technologies
• Collaborative and innovative work environment

Other Information:

• Candidates must be authorized to work in Canada through citizenship, permanent residency, or a valid work permit
• The company may use AI tools during portions of the recruitment process
• Final hiring decisions are made by human reviewers;
• Equal opportunity employer committed to diversity, inclusion, accessibility, and workplace equity