Data Architect, Data and Analytics Platform

Lending Club•San Francisco, CA

48d•Hybrid

About The Position

Our mission at LendingClub is to empower those who strive to achieve better financial health. The Big Data and Analytics Platform team plays a crucial role in achieving our mission. We are seeking a Data and Analytics Platform Architect to lead design and development of our modern data and analytics stack. You will have the opportunity to understand all data and analytics use cases across all of Lending Club business teams and help them derive value from data and analytics stack. You will enable the journey to leverage the leading edge analytics, data architecture, data modelling, warehousing, and GenAI across all business units. You will be the technical lead to enable LendingClub to fulfil our vision to become a data driven company.

Requirements

12+ years of experience, leading the design and delivery of innovative data and analytics solutions that power LendingClub's data-driven future
Bachelor's degree or higher in Computer Science or related field; or equivalent work experience
10+ years of experience with cutting-edge big data and analytics technologies and 7+ years working with large-scale OLTP and OLAP systems
Architect modern, cloud-based data platforms (10+ years with public cloud; AWS preferred) and deliver scalable, operational data products
5+ years of experience in machine learning (including 1+ year in GenAI) advancing intelligent, data-driven capabilities across the business
Deep expertise in the Spark ecosystem (7+ years) and platforms like Databricks or Snowflake; experience with Hive and Kafka is a plus
Champion Agile best practices, test-driven development, and automation (5+ years of experience) to drive quality and speed
Collaborate with cross-functional teams, providing strong technical leadership and fostering innovation, collaboration, and accountability
Curiosity, empathy, and a passion for data-delivering simple, elegant solutions that make a measurable impact

Responsibilities

Drive strategic architectural decisions and align the data platform with broader tech. strategies and business objectives
Ensure LendingClub's modern data and analytics stack meets business needs, evangelize the stack and helps them adopt this stack
Design, build, and implement the overall architecture for cloud-based data platforms by leveraging modern data stack tooling
Develop architectural patterns for data pipelines, warehouses, and integrations.
Create frameworks for data quality monitoring and alerting
Ensure that the modern data and analytics stack is kept updated with features and technologies needed to fulfil our vision to be a data driven company
Lead Proofs of Concept (POCs) and Minimum Viable Products (MVPs) to explore and implement new technologies and methodologies
Lead the design of data modeling across entire data flow from upstream databases to the consumption layer, including ad-hoc analysis, reports, feeds, and dashboards
Develop execution roadmaps and provide accurate cost/time estimates for data initiatives
Solve complex technical challenges related to data scalability and performance.
Identify, design, and implement internal process improvements to achieve automation, data processing optimization, reduction of cost and improvement in time to delivery of products and their features
Collaborate with stakeholders including the Business, Product, Program and Engineering teams to deliver required data products in time with high quality at reasonable cost
Drive scale, quality, and governance aspects of the modern stack to ensure all operational aspects are taken care of
Evaluate emerging technologies, including GenAI and automation platforms, data and analytics eco-system, to identify opportunities for innovation and competitive advantage