Lead Data Engineer

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.

We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose™ – to advance the health of animals, people, the planet and our enterprise.

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!

Your Role: Lead Data Engineer

 

The data engineer’s role is delivery focused.

The person in this role will drive data pipeline and data product delivery through data- architecture, modeling, design, and development a professional grade solution on premise and/or Microsoft Azure cloud.

Partner with data scientists and statisticians across Elanco global business functions to help prepare and transform their data into data products that further drive the scientific and/or business knowledge discovery, insights, and forecasting.

Data engineers will be part of a highly collaborative and cross-functional team of technology and data experts working on solving complex scientific and business challenges in animal health using cutting edge data and analytics technologies

Responsibilities


* Strategic Technical Ownership: Drive the vision, design, and execution of scalable, high-performance data platforms and solutions.


* Business Impact & Value Creation: Drive data-driven decision-making, ensuring solutions deliver measurable business impact across the organization.


* Enterprise Data Architecture: Define and implement data architecture principles, ensuring alignment with Elanco’s enterprise-wide data strategy.


* Innovation & Modernization: Lead modernization initiatives to transition legacy data products to modern data architectures, ensuring optimal performance and scalability.


* Technical Governance: Establish enterprise standards, frameworks, and patterns for data engineering, ensuring alignment with security, compliance, and performance best practices.

What You Need to Succeed (minimum qualifications):


* Bachelor’s degree in computer science, Software Engineering, or equivalent professional experience.


* 7-10 years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred.

What will give you a competitive edge (preferred qualifications):


* Azure native data/big-data tools, technologies and services experience ...