Sr Manager, Data Platform Engineering

Current Employees of LendingClub: Please apply via your internal Workday Account

LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!

About the Role

We are building a modern data platform team focused on enabling scalable, secure, and self-service infrastructure that empowers business and product teams to focus on insights-not plumbing. As the Sr Manager, Data Platform Engineering, you will lead the strategy, architecture, and execution of our data platform initiatives, delivering foundational capabilities that power analytics, real-time decision-making, and AI/ML innovation across the company.

Your team will own the end-to-end delivery of platform services using best-in-class tools like FiveTran, Airbyte, DLT, Databricks, Spark, SQL, and Snowflake-abstracting complexity, accelerating data product development, and ensuring trust, governance, and observability throughout the data lifecycle. This is a high-impact leadership role with executive visibility, shaping not only our data platform but also our broader data vision.

What You'll Do

• Lead platform strategy & execution: Design and scale a modern data platform that supports ingestion, transformation, quality, cataloging, governance, access, and observability across diverse data domains
• Deliver trusted, production-grade data: Implement robust data quality, monitoring, and observability frameworks to ensure transparency, reliability, and rapid issue resolution
• Accelerate data-driven outcomes: Partner with product, analytics, data science, and business stakeholders to deliver platform capabilities that unlock insights, real-time decision-making, and AI/ML adoption
• Drive operational excellence: Implement CI/CD, infrastructure-as-code, and cost-optimization practices to deliver secure, scalable, and efficient platform services
• Champion governance & compliance: Establish access controls, data cataloging, and compliance processes in partnership with InfoSec and regulatory teams
• Grow and inspire a world-class team: Recruit, mentor, and coach high-performing engineers while fostering a culture of innovation, ownership, and technical excellence
• Shape the future of data: Stay ahead of industry trends in streaming, AI/ML enablement, and data mesh principles, incorporating them into the long-term roadmap
• Optimize pipelines & workflows: Optimize data pipelines and workflows for performance, cost, and reliability, leveraging tools like Airflow or Dagster, dbt, Spark, and Databricks
• Accelerate development cycles: Standardize dbt project templates and CI/CD workflows to improve code quality, developer velocity, and operational resilience
• Build self-service frameworks: Deliver tooling, frameworks, and developer portals that reduce operational overhead and enable faster, more autonomous feature delivery
• Ensure best practices in data modeling: Drive standards for ingestion, transformation, and governed data modeling, ensuring scalability and performance across millions of records daily

About You

• 8+ years of experience in software/data engineering, with 5+ years focused on data platform or infrastructure engineering
• Deep expertise in distributed data systems and tools such as Spark, Databricks, Snowflake, Kafka, Airflow, and SQL 
• Proven experience with modern data ingestion and transformation tools (e.