Lead Data Engineer

Elanco•Indianapolis, IN

1d•Remote

About The Position

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals’ lives better makes life better – join our team today! 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.

Requirements

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).

Nice To Haves

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.

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.