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About the Role
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.
Responsibilities
- 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.
Requirements
- 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.
- 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
- Candidates must possess or be able to obtain work authorization for their intended country of employment.
- An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
Skills
- SQL
- Python
- Data Warehousing
- Cloud Data Platforms (AWS, Azure, GCP)
- ETL Processes
- Data Modeling
- Database Management
- Big Data Technologies (Hadoop, Spark, Kafka)
- Data Integration Tools
Location
- On-site
- Client Locations
Work Type
- Hybrid
- Full-time
Experience Level
- 8-10+ years of experience in data engineering
- Senior
Education Level
- Bachelors or higher-education degree in Computer Science, Data Science, or related fields
Benefits
- Comprehensive total rewards package
- Health and well-being support
- Financial future support
- Time away
- Professional development opportunities
- Robust skills-building programs
- Multiple career progression paths
- Internal mobility
- Deeply collaborative culture
About the Company
- ZS is a management consulting and technology firm focused on improving life and how we live it.
- ZS transforms ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all.
- ZSers drive impact by bringing a client-first mentality to each and every engagement.
- ZS partners collaboratively with clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business.
Equal Opportunity
- 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.
- 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.