Our mission at LendingClub is to empower those who strive to achieve better

financial health. Data intelligence team plays a crucial role in achieving our

mission.

We are seeking a Lear Data Modeling Engineer for our Data team to provide data

modeling, data processing, and pipeline orchestration capabilities. You’ll be part of

the Data Intelligence organization that helps drive business decisions using data.

You will have the opportunity to use your expertise in data modeling, software

development, design thinking, and analytical skills to build scalable data pipelines,

robust data models, and high-quality data products leveraging our PB-scale data.

This role is primarily focused on data modeling, with solid ownership of building

and supporting the data pipelines and systems that operationalize those models.

You will be responsible for designing and evolving data models in a centralized

data warehouse, ensuring they are scalable, performant, and aligned with business

needs. In parallel, you will contribute to engineering development to ensure

reliable data ingestion,



transformation, and delivery.

You will also play a key role in driving data standardization efforts, establishing

consistent definitions, modeling patterns, and data quality practices across the

organization.

What You’ll Do
- Design, develop, and maintain scalable, high-quality data models in a

centralized data warehouse (primary focus)
- Translate business requirements into well-structured, reusable data models

that support analytics and downstream applications
- Define and enforce data modeling standards, naming conventions, and best

practices across domains
- Lead and contribute to data standardization initiatives to ensure

consistency and interoperability of data assets
- Build and maintain data pipelines that support and operationalize data

models (ingestion, transformation, and delivery)
- Develop pipelines that transform raw data into clean, well-modeled,

analytics-ready

📌 Lead Data Engineer (Pune Division)
🏢 EXL
📍 Pune Division