Lead Data Engineer, Enterprise Data Products

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!

Responsibilities

• Strategic Technical Leadership: 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.
• Hands-on Technical Ownership: Provide architectural guidance and technical mentorship to engineering teams, ensuring best-in-class data product development.
• Data Pipeline Optimization: Architect and oversee the development of highly efficient, fault-tolerant, and cost-optimized data pipelines across Azure, Databricks, and GCP.
• Security and Compliance: Partner with security teams to ensure data engineering solutions adhere to security and regulatory standards, implementing governance best practices.
• Cross-Functional Collaboration: Work closely with Product Owners, Data Architects, and Engineering Squads to deliver robust data solutions in agile sprints.
• Future-Proofing Data Engineering Capabilities: Continuously evaluate new tools, frameworks, and industry trends to future-proof Elanco s data engineering landscape. Drive the adoption of AI-driven automation, DataOps, and DevSecOps methodologies
• Provide architectural leadership in Agile delivery by guiding engineering squads through sprints, backlog refinement, and iterative solution design. Embed a culture of "working out loud" to drive transparency and collaboration.
• Drive proof-of-concept initiatives, rapid prototyping, and pilot implementations to test and validate new data engineering approaches. Offer hands-on guidance for the development of highly scalable and reliable data products.
• Serve as the escalation point for complex data engineering challenges, diagnosing issues across ingestion, processing, and storage layers while providing expert-level technical solutions.
• Collaborate with Data Architects and Engineering Teams to drive consistency in data engineering patterns across multiple domains, enabling a unified data ecosystem with seamless data interoperability.
• Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud.

Qualifications

• Bachelor s Degree in Computer Science, Software Engineering, or equivalent professional experience.
• 9+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred.
• 4+ years in roles requiring technical leadership and/or coaching and development of colleagues.

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status