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Odaia Intelligence Inc.

Senior Data Implementation Engineer

Toronto, ON, M5H 1J9, Canada

Job type: Full-time
Apply by: Dec 31, 2026
Posting language: English
Posted: Oct 2, 2026

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Applications open in a new tab.

Original job description

ABOUT ODAIA
ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "ōdē", the word for song, and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform it orchestrates.

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 AI 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.

OUR MISSION

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

WHAT'S ON OFFER

As a Senior Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our customer's success. You will partner closely with the Business Acceleration and Engineering teams throughout the entirety of the customer lifecycle and be responsible for managing all data-related activities. The ideal candidate will have strong technical fluency - especially in data analysis, querying, and ETL.

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.

WHAT YOU WILL DO

Lead customer-facing data discovery, assessment, and integration, serving as the technical authority on how customer data assets are brought into our platform
Define technical requirements and implementation approaches with customers, our support team, and other internal teams, and own triage and escalation of reported issues across implementations
Architect, configure, and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems and setting the technical direction for complex or non-standard integrations
Design, build, and maintain automated, config-driven ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion at scale
Lead troubleshooting and root-cause analysis across the data pipeline - from ingestion and transformation through orchestration and system configuration - and drive durable fixes rather than one-off patches
Own the weekly data delivery cycle for a portfolio of customers, proactively resolving issues to keep deliveries on time and error-free, and define the monitoring and alerting that keeps them that way
Identify recurring manual work in the implementation and delivery process - including manual trigger steps - and lead the effort to automate it, establishing reusable patterns and standards that improve scalability across the team
Mentor Data Implementation Engineers, review their work, and contribute to implementation best practices, documentation, and onboarding
Partner with Engineering and Business Acceleration to feed customer and pipeline learnings back into the product and delivery roadmap
Uphold and help shape data security and privacy protocols in line with industry standards

WHAT YOU BRING

6+ years of experience with data migration, ETL, and pipeline tools, including designing pipelines end to end
5+ years of hands-on experience with Snowflake and AWS (e.g., Glue, S3), or equivalent cloud data infrastructure
Expert-level proficiency in Python and SQL, including performance tuning and writing maintainable, production-grade code
Deep experience with APIs and integration framework
Hands-on experience with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt), with experience designing these systems being a strong asset
Proven track record of leading complex implementations or data migrations from discovery through delivery
Strong problem-solving skills and a customer-centric mindset, with demonstrated success owning ambiguous technical problems directly with customers
Excellent communication skills, able to translate between technical and non-technical stakeholders, including at the executive level
Experience mentoring or informally leading other engineers
Experience in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset

WHAT WE OFFER
Values-Based Culture

We Ignite Innovation, Own It, and Stand Together

AI-Native Environment

At ODAIA, we don't just deliver AI we live it. We use AI and agentic automation to 10x our efficiency and impact, encouraging constant curiosity in leveraging and integrating AI

Comprehensive Rewards

Meaningful stock option grants, immediate medical/dental enrollment, and flexible time off

Remote-First Flexibility

WFH flexibility with intentional, high-value in-person collaboration and socials

LOCATION & BUSINESS TRAVEL

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, walking distance from Union Station.

EMPLOYMENT VERIFICATION

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.

JOB PROCESS & INTERVIEW DISCLOSURE

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 across Canada and the U.S.

We respect the time candidates invest into participating in our recruitment process. ODAIA is committed to providing timely status updates on hiring decisions to all candidates following their final interview, in accordance with applicable employment laws.

Compensation is determined through a comprehensive review of the successful candidate's unique skill set, specialized experience, certifications and other relevant considerations. As such, the final offer may vary based on these specific factors. Salary expectations will be discussed collaboratively early in the process to ensure alignment. This role is also eligible for health benefits, stock options, and flexible time off policies as mentioned above.

Position Status: Please note that this is an existing position and that this vacancy is not related to a recent departure.

DIVERSITY, EQUITY & INCLUSION

ODAIA is an equal opportunity employer. We are committed to building an environment where everyone feels included, valued, respected and heard. We are committed to creating a diverse workplace, free from discrimination on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by local laws, regulations or ordinances.

ACCOMMODATIONS AND ACCESSIBILITY

Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need at any stage of the recruitment process, please contact us at hr@odaia.ai

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More about this job

Responsibilities

You will lead customer-facing data discovery, assessment, and integration while architecting and deploying platform solutions tailored to customer needs. Additionally, you will design and maintain automated ETL workflows and mentor team members to ensure high-quality data delivery.

Requirements

The ideal candidate possesses 6+ years of experience in data migration and ETL, along with 5+ years of hands-on experience with Snowflake and AWS. Expert-level proficiency in Python and SQL is required, as well as a proven track record of leading complex technical implementations.

Skills

Data analysis
ETL
Snowflake
AWS Glue
Python
SQL
APIs
Dagster
Airflow
dbt
Data migration
Pipeline design
Troubleshooting
Mentoring
Technical implementation

Benefits

Medical insurance
Dental insurance
Stock options
Flexible time off

Visa sponsorship

Not detected in the job text

Keywords

Data Implementation
AI-powered
Commercial Intelligence
Life Sciences
Data Discovery
ETL
Snowflake
AWS Glue
Python
SQL
APIs
Dagster
Airflow
dbt
Data Migration
Pipeline Orchestration
Veeva Vault
Salesforce
Cloud Infrastructure
Data Security
Privacy Protocols
Automation
Technical Authority
Customer Lifecycle
Predictive Analytics

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