Overview

The Data Engineering Lead is a senior technical skilled 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.

What You’ll Do

- 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.
- Communicate findings and recommendations to stakeholders effectively.
- 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.

What You’ll Bring

- A relevant Bachelors or higher‑education degree in Computer Science, Data Science, or related fields.
- 5+ 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.
- Strong 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.
- Excellent problem‑solving, critical thinking, and analytical skills.
- Excellent communication, collaboration, and leadership skills.
- 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.
- Client‑first mentality.
- Intense work ethic.
- Collaborative spirit and problem‑solving approach.

How you’ll grow

- Cross‑functional skills development & custom learning pathways.
- Milestone training programs aligned to career progression opportunities.
- Internal mobility paths that empower growth via s‑curves, individual contribution and role expansions.

Perks & Benefits

At ZS, we offer a comprehensive total rewards package that supports your health and well‑being, financial future, time off, and professional development.

Hybrid working model

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

Travel

Travel is required for client‑facing roles. While some projects may be local, all client‑facing professionals should be prepared to travel as needed to strengthen client relationships and enhance professional growth.

Equal Employment Opportunity Statement

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

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