Data Architect, MarTech

LendingClub • San Francisco, CA

76d • $210,000 - $247,000

About The Position

At LendingClub, our mission is to empower individuals on their journey to better financial health. As part of this mission, the Big Data and Analytics Platform team is building the foundation for a data-driven marketing ecosystem. We are seeking a Marketing Data & Analytics Architect to lead the design and development of scalable, compliant, and high-impact marketing data infrastructure and analytics capabilities. You will enable business teams to derive value from data for all marketing use cases. You will enable the journey to leverage the cutting-edge analytics and data architecture for marketing at LendingClub. You will enable LendingClub to fulfil our vision of being a data-driven company.

Requirements

• 12+ years of professional experience, including 8+ years of deep expertise in big data, analytics technologies, and modern marketing data stacks.
• Bachelor’s degree or higher in Computer Science or related field; or equivalent work experience.
• Proven experience architecting and delivering complex data platforms that power marketing analytics, personalization, and funnel optimization.
• Strong background in OLTP and OLAP systems at scale, with hands-on experience in Spark (7+ years), Databricks, and/or Snowflake.
• Skilled in building and supporting MarTech ecosystems, including CDPs, audience activation, and attribution-ready data.
• Experience applying machine learning to marketing or customer data use cases.
• Advanced knowledge of cloud platforms (preferably AWS) and modern data pipelines (Hive, Kafka a plus).
• Comfortable in Agile environments with CI/CD, source control, and automated testing best practices.
• Passionate about big data, cloud, and enabling data-driven marketing strategies.
• Collaborate with cross-functional teams (Marketing, Engineering, and Data), 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

• Define and evolve the MarTech reference architecture to support campaign execution, personalization, performance measurement, experimentation, and advanced analytics.
• Architect data pipelines and analytics capabilities that enable full-funnel marketing measurement, including acquisition, retention, conversion, and ROI tracking.
• Collaborate with marketing analytics and data science teams to develop predictive models and machine learning solutions that optimize Return on Marketing Investment (ROMI).
• Design instrumentation and data flows to capture KPIs such as marketing attribution, channel effectiveness, and campaign ROI.
• Embed data governance, privacy compliance, scale, quality, and monitoring into the marketing data architecture to ensure secure and auditable data practices.
• Build and maintain marketing data warehouses, marts, and self-service analytics tools that serve as a single source of truth for business stakeholders.
• Standardize enterprise-wide marketing taxonomy and unify spend ingestion across agencies and platforms with finance-grade reconciliation.
• Partner with Marketing, Risk, Legal, Security, and Compliance teams to align marketing data architecture with business goals, their needs, and regulatory requirements.
• Architect infrastructure to support audience segmentation, A/B testing, recommendation engines, and real-time personalization.
• Ensure scalability, data quality, rapid time-to-market, and cost-efficiency across marketing data systems.
• Evaluate emerging technologies, including GenAI and marketing automation platforms, data and analytics eco-system, to identify opportunities for innovation and competitive advantage.
• Maintain a comprehensive understanding of the marketing tech stack to guide strategic decisions on build vs. buy.
• Lead the design of marketing data flow architecture and data modelling to enable analytics by channels, networks, segments, products, campaigns, cohorts, and eligibility to meet or exceed our performance goals.
• Hold yourself accountable for LendingClub’s origination targets.
• Ensure that the modern data and analytics stack enable ad-hoc analysis, observability, reports, feeds, and dashboards for marketing.
• Identify, design, and implement internal process improvements to achieve automation, optimization, reduction of cost and improvement in time to delivery of marketing data products.
• Evangelize the modern data and analytics stack across all marketing business units in LendingClub.

Benefits

• 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 of paid leave.

What This Job Offers

• Job Type: Full-time
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees