Senior Data Implementation Engineer

Role overview

What you will do

• Lead customer data discovery, assessment, and integration, serving as technical authority on bringing data into the platform.
• Define technical requirements and implementation approaches with customers and internal teams; own issue triage and escalation.
• Architect, configure, and deploy customer-specific platform solutions and guide complex or non-standard integrations.
• Build and maintain automated, config-driven ETL workflows, using tools such as Snowflake and AWS Glue.
• Troubleshoot pipelines and lead root-cause analysis from ingestion and transformation through orchestration and system configuration.
• Own weekly data deliveries across customers and define monitoring and alerting to keep deliveries timely and accurate.
• Automate recurring manual implementation and delivery work and establish reusable patterns and standards.
• Mentor engineers, review their work, and contribute to best practices, documentation, and onboarding.
• Partner with Engineering and Business Acceleration to inform product and delivery roadmaps.
• Uphold and help shape data security and privacy protocols.

Experience and qualifications

• At least 6 years of experience with data migration, ETL, and pipeline tools, including end-to-end pipeline design.
• At least 5 years of hands-on Snowflake and AWS experience, or equivalent cloud data infrastructure experience.
• Expert Python and SQL proficiency, including performance tuning and production-grade code.
• Deep experience with APIs and integration frameworks.
• Hands-on orchestration and config-driven or declarative pipeline experience; examples include Dagster, Airflow, and dbt.
• Experience designing orchestration or declarative pipeline systems is a strong asset.
• Track record leading complex implementations or data migrations from discovery through delivery.
• Strong problem-solving and customer-centric approach, including ownership of ambiguous customer-facing technical problems.
• Excellent communication skills with technical and non-technical stakeholders, including executives.
• Experience mentoring or informally leading engineers.
• Life sciences or pharma experience and familiarity with Veeva Vault or Salesforce are strong assets.

Location and work arrangement

• ODAIA is remote-first, with employees across Canada and the United States.
• The primary office hub is in downtown Toronto; the company also describes intentional, high-value in-person collaboration and social events.

Benefits and culture

• Benefits include medical and dental coverage, stock options, and flexible time off.
• The company describes an AI-native work environment and values-based culture.

Compensation

• Compensation is determined based on skills, specialized experience, certifications, and other relevant factors.
• Salary expectations are discussed early in the process; no salary amount or pay cadence is stated.

Application

• Applicants are asked to include a cover letter describing relevant experience, interest, and a related project.
• Employment offers are subject to background and reference checks.