Data & Analytics - Technical Lead

Location: Montreal

Your professional transformation starts here Are you full of great ideas? Do you dream of building a greener future as part of a company that values your skills and opinions? Are you looking for a flexible employer that will give you the opportunity to grow within the company? This job is for you! We are looking for a Data & Analytics Technical Lead to provide hands‑on technical leadership in the design, delivery, and operation of modern enterprise data solutions.

This role is for someone who enjoys staying close to the technology. You will translate business requirements and architectural direction into robust, production‑ready solutions while guiding the team through complex technical decisions. You will work at the intersection of data engineering, analytics, architecture, artificial intelligence, and operations to develop reliable, scalable, and sustainable solutions.
Why Join Sanimax   Competitive salary and annual bonus
Comprehensive group insurance program (dental, medical, life insurance, disability insurance, etc.)
Hybrid remote work with a flexible schedule
Telemedicine and Employee Assistance Program (EAP)
Pension plan with employer contributions
Gym and physical activity reimbursement
Professional development and career advancement opportunities within the company
Responsibilities   Lead the design, development, and production deployment of modern data and analytics solutions.
Translate business requirements and architectural direction into practical, scalable, and maintainable technical solutions.
Design and optimize data ingestion, transformation, and integration pipelines, ensuring performance and reliability.
Provide technical direction to engineers, lead design and code reviews, and help resolve complex technical challenges.
Ensure solution quality and reliability by incorporating best practices in data quality, security, governance, metadata, and lineage.
Partner closely with architecture teams to evolve platforms and engineering practices based on business and technical needs.
Improve automation, Data Ops practices, and development and deployment processes.
Mentor engineers, share best practices, and contribute to strengthening the team’s technical expertise.
Qualifications   Bachelor’s degree in Computer Science, Software Engineering, Engineering, Data Science, or a related field, or an equivalent combination of education and experience.
Minimum of 7 years of relevant experience in data engineering, analytics, or data solution development, including experience in technical leadership.
Strong hands‑on experience with SQL, Python, Snowflake, and Power BI, as well as delivering production‑grade data solutions.

Experience with data orchestration, ingestion, transformation, and integration technologies.
Strong understanding of CDC (Change Data Capture), incremental processing, data pipelines, and data modelling.
Ability to diagnose and resolve complex integration, data quality, performance, and reliability issues.
Strong communication skills with the ability to clearly explain technical decisions to both technical and non‑technical stakeholders.
Assets   

Experience with Dagster or similar orchestration platforms, SQL Server, modern ELT/ETL approaches, and metadata‑driven ingestion.

Experience with dimensional and physical data modelling, semantic layers, and Power BI development.
Knowledge of Data Ops and Dev Ops practices within data and analytics environments.
Strong technical expertise combined with a pragmatic, hands‑on leadership style and the ability to solve complex technical challenges.
A collaborative approach with sound technical judgment, a focus on quality and reliability, and the ability to guide, challenge, and empower engineers.
English proficiency is required to effectively…