Lead Data Engineer

Lead Data EngineerLet’s be unstoppable together!

Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set.

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at

What will you be doing?

We are looking for a strategic and technically strong Lead Data Engineer to drive the architecture, development, and optimization of our cloud-based data warehouse and analytics platforms. This role involves leading a team of data engineers, collaborating with stakeholders across the organization, and working with both open-source and proprietary in-house tools to deliver scalable, high-performance data solutions.

Job Responsibilities

• Lead the design and development of complex ETL/ELT pipelines using PySpark, Python, and SQL.

• Architect and manage data warehouse solutions on Cloud platforms (AWS, Azure, GCP), ensuring scalability, reliability, and cost-efficiency.

• Own and drive the adoption and enhancement of in-house data tools, ensuring seamless integration with existing systems.

• Collaborate with data scientists, analysts, and business teams to understand data needs and deliver actionable insights.

• Establish and enforce best practices in data engineering, including coding standards, testing, and documentation.

• Mentor and guide junior and senior engineers, fostering a culture of technical excellence and continuous learning.

• Lead performance tuning, data governance, and automation initiatives across the data platform.

• Participate in strategic planning, roadmap development, and cross-functional leadership discussions.

Requirements