Senior Manager of Data Platform Engineering, Lending Club

• 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.g., FiveTran, Airbyte, DLT)
• Strong understanding of data governance, cataloging, access management, observability, and regulatory compliance
• Hands-on experience with cloud platforms (AWS preferred) and infrastructure-as-code
• Moderate to advanced SQL skills, including window functions, CTEs, and performance optimization
• Proven track record of building and maintaining large-scale data platforms processing millions of records daily with enterprise-grade reliability
• Demonstrated leadership in Agile environments with a track record of mentoring and scaling high-performing teams
• Excellent communication skills with the ability to influence and align stakeholders across engineering, product, and business
• Strategic thinker who balances long-term vision with pragmatic delivery

Desirable

• 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
• 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