Lead Data Engineer - Data Modeler

• 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 strong 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 datasets

• Collaborate with Product, Engineering, and Program teams to deliver endto-end data solutions (models + pipelines)
• Optimize data models and pipelines for performance, scalability, and cost

efficiency

• Implement processes for data validation, quality monitoring, and reliability
• Write high-quality, testable code; adopt TDD and contribute to engineering

documentation and best practices

• Perform root cause analysis on data and pipeline issues to improve system

robustness

About you

• 10+ years of experience and a bachelor’s degree in Computer Science,

Information Systems, or related field; or equivalent experience

• Strong expertise in data modeling (dimensional modeling, warehouse

design, normalization techniques)

• Proven experience designing and implementing data models in

centralized/cloud data warehouses (Databricks, Snowflake, Redshift, etc.)

• Solid experience in data engineering and pipeline development to support

modeled data layers

• 5+ years of experience with Databricks and DBT
• Experience with orchestration tools such as Airflow or Dagster
• In-depth experience with distributed systems such as Spark
• Strong programming skills (Java, Scala, Python) with experience building

production-grade data pipelines

• Experience with AWS cloud services (EC2, EMR, RDS)
• Strong understanding of data standardization, data governance, and data

quality best practices

• Experience with Git, JIRA, Jenkins, and CI/CD pipelines
• Experience working with cross-functional teams in a dynamic environment
• You are passionate about data modeling and designing scalable, wellstructured datasets
• You are equally comfortable implementing pipelines that bring those

models to life

• You think in terms of data consistency, reusability, and long-term

maintainability

• You value clean design, simplicity, and high-quality engineering practices
• You have a track record of delivering reliable, well-modeled, production - ready data solutions

• 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 datasets

• Collaborate with Product, Engineering, and Program teams to deliver endto-end data solutions (models + pipelines)
• Optimize data models and pipelines for performance, scalability, and cost

efficiency

• Implement processes for data validation, quality monitoring, and reliability
• Write high-quality, testable code; adopt TDD and contribute to engineering

documentation and best practices

• Perform root cause analysis on data and pipeline issues to improve system

robustness

About you

• 10+ years of experience and a bachelor’s degree in Computer Science,

Information Systems, or related field; or equivalent experience

• Strong expertise in data modeling (dimensional modeling, warehouse

design, normalization techniques)

• Proven experience designing and implementing data models in

centralized/cloud data warehouses (Databricks, Snowflake, Redshift, etc.)

• Solid experience in data engineering and pipeline development to support

modeled data layers

• 5+ years of experience with Databricks and DBT
• Experience with orchestration tools such as Airflow or Dagster
• In-depth experience with distributed systems such as Spark
• Strong programming skills (Java, Scala, Python) with experience building

production-grade data pipelines

• Experience with AWS cloud services (EC2, EMR, RDS)
• Strong understanding of data standardization, data governance, and data

quality best practices

• Experience with Git, JIRA, Jenkins, and CI/CD pipelines
• Experience working with cross-functional teams in a dynamic environment
• You are passionate about data modeling and designing scalable, wellstructured datasets
• You are equally comfortable implementing pipelines that bring those

models to life

• You think in terms of data consistency, reusability, and long-term

maintainability

• You value clean design, simplicity, and high-quality engineering practices
• You have a track record of delivering reliable, well-modeled, production - ready data solutions

10+ years of experience and a bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent experience