Lead Engineer - Data

ZS is a place where passion changes lives. 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.

ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS.

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 optimise 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.
• Analyse 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.

A bachelor’s or master’s degree in computer science, Data Science, or a related technical field.

• 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 modelling 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.

• 5+ years of experience in data engineering, with a proven track record of designing and implementing scalable, high‑performance data systems.
• 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.
• Strong communication skills
• Fluency in English
• Client‑first mentality
• Intense work ethic
• Collaborative spirit and problem‑solving approach

• 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

ZS is committed to a flexible and connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined…