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Sr. Data Engineer - Lakehouse Architecture

A global healthcare company headquartered in Indianapolis, developing and delivering life-changing medicines.
$70,500 - $200,200
Data
Senior Software Engineer
In-Person
5,000+ Employees
7+ years of experience
Healthcare · Enterprise SaaS

Job Description

Eli Lilly, a global healthcare leader headquartered in Indianapolis, is seeking a Senior Data Engineer to join their Tech@Lilly team. This role focuses on implementing and optimizing large-scale Lakehouse solutions while providing technical leadership to a growing team. The position offers an opportunity to work with cutting-edge technologies in the pharmaceutical industry, combining technical expertise with meaningful impact on healthcare outcomes.

The role involves designing and implementing comprehensive Lakehouse architecture solutions, building data processing systems, and leading technical strategy for data integration. You'll work with modern technologies including Databricks, Snowflake, Apache Spark, and Kafka, while mentoring a team of 3-5 data engineers. The position requires expertise in Python, SQL, and cloud platforms, with a focus on implementing data governance and security protocols.

This is an excellent opportunity for an experienced data engineer looking to make an impact in the healthcare sector while working with advanced technologies. The position offers competitive compensation ranging from $70,500 to $200,200, along with comprehensive benefits including medical coverage, 401k, and bonus opportunities. Lilly's commitment to innovation in healthcare, combined with their modern tech stack and focus on employee development, makes this an attractive role for technical leaders who want to contribute to improving global health outcomes.

The ideal candidate will bring 7+ years of data engineering experience, strong technical skills, and leadership capabilities. You'll be part of Lilly IT, which builds and maintains capabilities using cutting-edge technologies to advance the company's purpose of creating medicines that make life better for people worldwide.

Last updated 2 days ago

Responsibilities For Sr. Data Engineer - Lakehouse Architecture

  • Design and implement comprehensive Lakehouse architecture solutions
  • Build and maintain real-time and batch data processing systems
  • Architect scalable data pipelines
  • Develop data transformation workflows
  • Lead technical strategy for data lake and data warehouse integration
  • Implement data governance frameworks
  • Implement centralized data catalog system
  • Establish monitoring and alerting systems
  • Drive adoption of modern data engineering best practices
  • Mentor a team of 3-5 data engineers

Requirements For Sr. Data Engineer - Lakehouse Architecture

Python
Kafka
Kubernetes
  • Master's degree in computer science, Engineering, or related technical field
  • 3+ years of hands-on experience with Lakehouse architectures
  • 7+ years of overall data engineering experience with large-scale distributed systems
  • Expert-level proficiency in Python and SQL
  • Strong experience with Apache Spark
  • Experience with streaming data technologies (Kafka)
  • Hands-on experience with cloud platforms (AWS or Azure)
  • Proficiency with Infrastructure as Code tools
  • Experience with containerization (Docker, Kubernetes)
  • Knowledge of data modeling techniques
  • Understanding of data governance, security, and compliance requirements

Benefits For Sr. Data Engineer - Lakehouse Architecture

401k
Medical Insurance
Dental Insurance
Vision Insurance
  • Company bonus program
  • 401k participation
  • Pension
  • Vacation benefits
  • Medical, dental, vision and prescription drug benefits
  • Flexible benefits (healthcare/dependent care FSA)
  • Life insurance and death benefits
  • Well-being benefits
  • Employee assistance program
  • Fitness benefits