[Hiring] Lead Data Engineer @Elanco

Role Description

As a Lead Data Engineer, you will be part of the Enterprise IT - Data Engineering team, delivering products and thought leadership that transform how Elanco leverages data. In this role, you'll be responsible for orchestrating the smooth flow of data, building stable pipelines and data products, and coaching junior engineers. You will focus on speed to value, improving our organization’s access to useful data, and promoting continual improvement to help execute and deliver our enterprise data strategy.

Your Responsibilities

• Lead data engineering squads in partnership with Product Managers to discover, design, and develop compelling data solutions, leveraging modern product and engineering approaches.
• Establish and enforce strong technical standards, governance, and quality change management practices for data pipelines and products, including partnering with core engineering groups on application security.
• Promote and educate colleagues and stakeholders on Enterprise Data Engineering capabilities, standards (including FAIR data principles), and patterns to ensure their value is understood and leveraged.
• Act as a key technical escalation point for diagnosing complex data engineering challenges and guide the modernization of our data landscape to ensure reliable and scalable outcomes.
• Coach and mentor junior engineers, contribute to the Data Engineering community, and foster a culture of learning, innovation, and collaboration across Elanco.

Qualifications

• Bachelor’s Degree in Computer Science, Software Engineering, or equivalent professional experience.
• A minimum of 6 years of experience engineering and delivering enterprise-scale data solutions.
• Proven technical leadership and coaching of colleagues.
• Strong experience with cloud data platforms (Databricks, Azure, GCP).

Requirements

• Expertise in designing and implementing modern data architectures such as the lakehouse, scalable data pipelines, APIs, and data contracts.
• Deep understanding of and experience with SQL/NoSQL, and FAIR data principles.
• Familiarity with machine learning workflows, data quality frameworks, and data governance practices.
• Experience working in complex and diverse global landscapes (business, technology, regulatory, etc.).
• Hands-on experience with infrastructure automation technologies such as Terraform and Ansible.

Benefits

• Multiple relocation packages.
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO).
• 8-week parental leave.
• 9 Employee Resource Groups.
• Annual bonus offering.
• Flexible work arrangements.
• Up to 6% 401K matching.