Forward Deployed Engineer (Data, ML & AI)

• 10+ Years of Experience: Proven track record as a Principal Data Engineer, Lead ML Engineer, or Enterprise Data Architect building and scaling distributed data and ML platforms.
• Customer-Facing Aptitude: Strong executive presence and communication skills to interface directly with technical teams and business stakeholders under pressure.
• Data & ML Engineering Depth: Data Infrastructure: Mastery of distributed computing (AWS Glue, Apache Spark, Databricks), modern data warehouses (Redshift, Snowflake, modeling tools (dbt), and data orchestration (Airflow, etc) AI/ML & Vector Architecture: Hands-on experience fine-tuning, evaluating, and deploying LLMs, embedding models, and vector stores Polyglot & Framework Proficiency: Advanced proficiency in Python and complex SQL, plus fluency in at least two other languages used in modern backend/data systems (e.g., Scala, Go, Rust, TypeScript).
• Data Infrastructure: Mastery of distributed computing (AWS Glue, Apache Spark, Databricks), modern data warehouses (Redshift, Snowflake, modeling tools (dbt), and data orchestration (Airflow, etc)
• AI/ML & Vector Architecture: Hands-on experience fine-tuning, evaluating, and deploying LLMs, embedding models, and vector stores
• Polyglot & Framework Proficiency: Advanced proficiency in Python and complex SQL, plus fluency in at least two other languages used in modern backend/data systems (e.g., Scala, Go, Rust, TypeScript).
• Generative AI & SDD Experience: Demonstrated skill in using natural language and structured specs to guide AI tools (Claude Code, Cursor, Copilot) in generating data pipelines, schemas, and API adapters.
• Cloud & Infrastructure: Hands-on experience with cloud-native data services on AWS or Azure, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).
• Willingness to Travel: Comfort with occasional travel to customer sites as needed.

• Prior experience in a Forward Deployed Engineer, Data Architect, or technical consulting/professional services role.
• Experience migrating legacy, on-premise data warehouses or legacy Hadoop estates to modern cloud lakehouses.
• Deep understanding of data governance, security compliance (HIPAA, SOC2, GDPR), and privacy-preserving machine learning.

• Competitive compensation package (160K - 180K CAD / year)

• Access to the latest tech
• Partnership with Perkopolis Discounts

• Remote first work environment
• Flexible work hours & location
• Paid parental leave options

• Employer paid health & dental premiums

• $500 in Health Care Spending Account annually

• Peer recognition rewards

As an employer, OpsGuru, a Carbon60 Company, recognizes the importance of balancing our careers with other aspects of our lives, and our culture reflects this ethos - from flexible work hours to health and wellness incentives and having fun along the way.

We look for people who thrive in an environment of accountability and at times ambiguity as we adapt and grow our business.

OpsGuru is an equal-opportunity employer.

We welcome and encourage applications from people with all levels of ability.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

We thank all applicants for their interest in this exciting opportunity.

Only candidates that meet the qualifications will be contacted for an interview.