Data Architect, MarTech Data Architect, MarTech
Job Description
Job Description
Data Architect, MarTech Data Architect, MarTech
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.
What You'll Do
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 will evangelize the modern data and analytics stack across all marketing business units in LendingClub About You
12+ years of professional experience, including 8+ years of deep expertise in big data and analytics technologies, and 5+ years with 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