CS&D Senior Principal Engineer - Systems - CTI MD Tech (LRL)
Eli Lilly and Company1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, build, and directly implement integration layers, data pipelines, APIs, microservices, and cloud infrastructure for clinical supply chain systems.
- Develop and maintain cloud-native data warehouses, ETL/ELT solutions, and data lake/lakehouse platforms across AWS and Databricks/Delta Lake.
- Make database architecture decisions involving relational, NoSQL, and NewSQL systems, including schema design, partitioning, sharding, indexing, and performance tuning.
- Build API and microservices integration patterns and implement monitoring, alerting, and observability for data pipelines.
- Design and build agentic workflows, LLM integrations, orchestration, RAG, vector-store implementations, and AI governance guardrails.
- Implement audit-readiness, security, change-control, architecture documentation, and CSV readiness practices for regulated systems.
- Partner with architects, product managers, and business stakeholders to translate goals into technical solutions and validate feasibility through prototypes.
- Provide architecture and integration direction to R2/R3 engineers and approve implementation-level designs.
- Conduct code and architecture reviews, mentor engineers through pairing and technical guidance, and promote consistent engineering standards.
- Represent CS&D engineering in technical forums, strengthen collaboration between India-based and global teams, and contribute to hiring and technical talent planning.
Requirements
- Bachelor's or master's degree in computer science, engineering, data science, or a related field, or equivalent experience.
- 12+ years of hands-on experience in data engineering, data architecture, or enterprise data platform roles with a current record of designing and implementing production systems.
- Strong hands-on AWS experience across storage, warehousing, data processing, integration, APIs, orchestration, infrastructure, and monitoring services.
- Strong SQL and dimensional data modeling expertise across Redshift, Oracle, and SQL Server.
- Strong experience with CI/CD pipelines for data platforms and infrastructure as code using tools such as GitHub Actions, GitLab CI, Jenkins, CloudFormation, Terraform, or CDK.
- Current hands-on coding proficiency across front-end, back-end, and AWS cloud development.
- Ability to explain system designs, technical trade-offs, and delivered outcomes in concrete detail.
- Demonstrated ability to mentor engineers and lead technical discussions through pairing and code review without requiring formal people-management responsibility.
- Experience in regulated industries such as healthcare/pharma, finance, or government is preferred.
- Experience with clinical data, life sciences, or statistical computing domains is preferred.
- Hands-on experience designing and building AI or agentic systems with LLM orchestration frameworks, vector databases, RAG architecture, and MLOps/LLMOps pipelines is preferred.
- Familiarity with data governance and metadata management frameworks is preferred.
- A portfolio of shipped technical work, relevant open-source contributions, or verifiable end-to-end production examples is a plus.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache KafkaAWSDatabricksGitHub ActionsGitLab CI/CDJenkinsMicrosoft SQL ServerSQLTerraform
Categories
BackendData Engineering
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.