Overview:

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.

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, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. 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.

Hybrid working model:

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. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

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.