<h3>Current Employees of LendingClub: Please apply via your internal Workday Account</h3>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!<h2></h2><h2>About the Role</h2>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.<h2></h2><h2>What Youll Do</h2><div><ul><li>Lead platform strategy &amp; execution: Design and scale a modern data platform that supports ingestion, transformation, quality, cataloging, governance, access, and observability across diverse data domains</li><li>Deliver trusted, production-grade data: Implement robust data quality, monitoring, and observability frameworks to ensure transparency, reliability, and rapid issue resolution</li><li>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</li><li>Drive operational excellence: Implement CI/CD, infrastructure-as-code, and cost-optimization practices to deliver secure, scalable, and efficient platform services</li><li>Champion governance &amp; compliance: Establish access controls, data cataloging, and compliance processes in partnership with InfoSec and regulatory teams</li><li>Grow and inspire a world-class team: Recruit, mentor, and coach high-performing engineers while fostering a culture of innovation, ownership, and technical excellence</li><li>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</li><li>Optimize pipelines &amp; workflows: Optimize data pipelines and workflows for performance, cost, and reliability, leveraging tools like Airflow or Dagster, dbt, Spark, and Databricks</li><li>Accelerate development cycles: Standardize dbt project templates and CI/CD workflows to improve code quality, developer velocity, and operational resilience</li><li>Build self-service frameworks: Deliver tooling, frameworks, and developer portals that reduce operational overhead and enable faster, more autonomous feature delivery</li><li>Ensure best practices in data modeling: Drive standards for ingestion, transformation, and governed data modeling, ensuring scalability and performance across millions of records daily</li></ul></div><h2></h2><h2>About You</h2><div><div><ul><li>8+ years of experience in software/data engineering, with 5+ years focused on data platform or infrastructure engineering</li><li>Deep expertise in distributed data systems and tools such as Spark, Databricks, Snowflake, Kafka, Airflow, and SQL </li><li>Proven experience with modern data ingestion and transformation tools (e.g., FiveTran, Airbyte, DLT) </li><li>Strong understanding of data governance, cataloging, access management, observability, and regulatory compliance</li><li>Hands-on experience with cloud platforms (AWS preferred) and infrastructure-as-code</li><li>Moderate to advanced SQL skills, including window functions, CTEs, and performance optimization</li><li>Proven track record of building and maintaining large-scale data platforms processing millions of records daily with enterprise-grade reliability</li><li>Demonstrated leadership in Agile environments with a track record of mentoring and scaling high-performing teams</li><li>Excellent communication skills with the ability to influence and align stakeholders across engineering, product, and business</li><li>Strategic thinker who balances long-term vision with pragmatic delivery </li></ul></div></div><div><div> </div><div>Preferred Qualifications </div><div><ul><li>Experience designing or operating data mesh or domain-driven data platforms</li><li>Exposure to ML Ops, feature stores, or real-time analytics systems</li><li>Prior experience in fintech, ads, gaming, or other high-scale consumer technology environments</li><li>Track record of leading cloud migrations or large-scale platform modernization initiatives</li><li>Vendor selection and management experience across data tooling ecosystem</li></ul></div><div>Work Location San Francisco The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level. Time Zone Requirements Primarily PT While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. Travel Requirements As needed travel to LendingClub offices and/or other locations, as needed. Compensation The target base salary range for this position is 197,000-230,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more. #LI-Hybrid #LI-BC1</div></div> LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.  We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.

Lending Club

Sr Manager, Data Platform Engineering

Lending Club