Lead Engineer - Data

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:

Responsibilities Data Architecture and Engineering:

• 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.

Data Quality and Governance:

• 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.

Technical Leadership and Mentorship:

• 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:

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

Technical Skills:

• 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.

Experience:

• 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

Howyou’llgrow:

• 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

Hybrid working model:

ZS is committed to aFlexible and Connectedway of working.ZSersareonsiteat clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available.The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member.

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 onsite 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-facingZSers; the 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.