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