As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers, worldwide.

The Data Engineering

Lead is a senior technical professional responsible for designing, building, and optimizing scalable data architectures and processes to enable efficient data utilization and data-driven decision-making. This role combines deep technical expertise with strong leadership skills to drive best‑in‑class data engineering solutions and mentor junior team members. Oversee the design and implementation of robust, scalable, and reliable data systems, ensuring high performance and alignment with business goals.

Collaborate with cross‑functional teams to understand data requirements and translate them into effective data architecture and engineering solutions. Develop and manage software processes that facilitate seamless data movement between data warehouses, data lakes, and other internal systems. Design and optimize ETL (Extract, Transform, Load) pipelines to prepare high-quality data for various stakeholders.

Design and build Data Ingestion frameworks, data quality frameworks and an integrated audit system. Implement data quality assurance processes to identify and resolve data inconsistencies and issues. Establish data governance practices to maintain data accuracy, integrity, and security.





Analyze data to derive meaningful insights that support data‑driven decision‑making. Serve as a technical authority in data engineering, staying updated on industry trends and best practices. Provide guidance and mentorship to junior Data Engineers, fostering their professional development.

Facilitate knowledge sharing, collaboration, and continuous improvement within the team. A relevant Bachelors or higher‑education degree in Computer Science, Data Science, or related fields. ~8-10+ years of experience in data engineering, with a proven track record of designing and implementing scalable, high‑performance data systems. ~ Proficiency in SQL, Python, or other relevant programming languages. ~ Solid understanding of data warehousing concepts and cloud‑based data platforms (e.g., AWS, Azure, GCP). ~ Expertise in designing and implementing ETL processes, data modeling, and database management. ~ Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data integration tools. ~ Significant experience in leading small teams of Data Engineers and fostering their professional growth. ~ Demonstrated ability to collaborate with cross‑functional teams and communicate technical solutions effectively. ~ Ability to travel to other offices or client locations as needed.



~ Fluency in English ~ Milestone training programs aligned to career progression opportunities With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Canada, visit ZS Canada office locations | Where we work | ZS.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on‑site presence at clients/ZS offices for the majority of our week.

Travel

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client‑facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences.

Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

📌 Lead Engineer - Data (Toronto)
🏢 ZS
📍 Toronto