Lead Data Engineer

Elanco•Indianapolis, IN

12d•Hybrid

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! Your role: Lead Data Engineer Data Engineering at Elanco delivers products and thought leadership that transform how the organization leverages data. The Data Engineering team is seeking an experienced Data Engineer to bring significant discovery and delivery capabilities to our pharmaceutical research and development-focused Pipeline product tower. This is a hands-on, internally focused role expected to help us execute on and ultimately deliver our data strategy, as well as coach junior engineers. To be successful in an engineering role at Elanco requires a highly motivated individual with an innovative mindset and willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Reporting to the Director - Data Engineering, the Lead Data Engineer is responsible for unlocking and orchestrating the smooth of data, ensuring stable pipelines and data products, and communicating our capabilities and patterns in easily consumable, compelling ways. This role focuses on speed to value, improving our organization’s access to useful data, and championing continual improvement.

Requirements

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

Nice To Haves

Proven ability to lead and deliver complex data projects.
Expertise in data pipelines, integration and analytics practices and capabilities.
Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.).
2+ years in roles requiring technical leadership and/or coaching and development of colleagues.
Familiarity with machine learning workflows, data quality, and data governance.
Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.).
Experience as a coach and/or mentor in developing technical skills.
Good interpersonal and communication skills; proven ability to work effectively within a team.
Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible.

Responsibilities

Partner with your Product Manager to lead squads through sprints, engage in product discovery, enhance engineering designs, and develop compelling solutions to prioritized problem statements.
Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud.
Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood.
Drive strong technical standards, technical processes governance and control.
Support and execute quality change management practices, ensuring a high bar for quality.
Drive Elanco’s data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism.
Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon.
Act as an escalation point of contact to diagnose and problem solve data engineering challenges.
Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes.
Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation.
Embrace and demonstrate a learning, growth, and sharing mindset.
Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT.