Senior Data Implementation Engineer

Senior Data Implementation Engineer ABOUT ODAIA

ODAIA noun o
· da·ia | 'oh-day-yeah An Ancient Greek word referring to “tools of the trade.” To learn more visit odaia.ai.

ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. ODAIA's SaaS platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster.

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.

As a Senior Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation point within the team. You will partner closely with Business Acceleration, Engineering, and Product to design scalable data solutions and ensure successful delivery for strategic customers.

This role is ideal for someone who is deeply hands‑on, technically strong, and comfortable leading complex integrations while mentoring more junior engineers.

Please include a cover letter with your application outlining your relevant experience and interest in this role, you can describe a project you’ve worked on that relates to one of the “What you bring” or “What you will do” points, and share how you’d expand on it here at ODAIA.

• Own complex customer implementations from technical discovery through production go-live
• Build automated ETL workflows to enable repeatable and high quality data ingestion
• Translate business requirements into scalable technical solutions
• Utilize modern data tools like PySpark and Snowflake to explore and troubleshoot issues with ETL, data ingestion or system configuration
• Define data validation frameworks and ensure high data quality standards
• Serve as an escalation point for implementation challenges and production issues
• Mentor and support junior Data Implementation Engineers
• Drive continuous improvements to implementation standards, tooling, and processes
• Ensure compliance with data security, privacy, and industry regulations

• 5+ years of experience in data implementation, migration, or ETL engineering
• Strong hands‑on experience with PySpark, Snowflake, SQL, and Python
• Experience designing complex data pipelines and system integrations
• Strong knowledge of cloud platforms (AWS preferred)
• Experience with APIs, event-driven systems, and integration frameworks
• Experience working directly with enterprise customers
• Life sciences or pharma experience strongly preferred
• Ability to lead technical discussions with both customers and internal stakeholders
• Strong mentoring mindset and ownership mentality

• A strong, passionate, values based culture, we Ignite Innovation, Own It and Stand Together
• Meaningful stock option grants
• Medical & dental benefits with immediate enrollment for full-time, permanent employees
• Flexible time-off
• Remote first, WFH flexibility with intentional, high-value in-person collaboration sessions, team meetings and socials

ODAIA is a remote first organization, with employees located across Canada and the U.S. Our primary office hub is located in central downtown Toronto and walking distance from Union Station.

Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.

ODAIA does not use artificial intelligence (AI) to review applications, filter or analyze resumes. Our recruitment team may use an AI-powered meeting assistant to record and transcribe interviews for note‑taking purposes only. This tool helps our recruiters to be fully present during conversations with candidates who provide consent to this tool being used during an interview. This tool is used in compliance with privacy and employment laws…