• Own & Evolve the Benepass Data Platform • Serve as the primary architect and builder of our data infrastructure across our AWS stack (RDS, Redshift, S3, etc.). • Evaluate and lead the evolution of our data stack, including decisions around warehousing, orchestration, transformations, ingestion, and observability. • Define ingestion, modeling, testing, and monitoring frameworks to ensure data is accurate, reliable, and easy to use. • Partner with Engineering, Product, Finance, People, Sales, Operations, and the Executive Team to understand data needs and deliver high-value pipelines, models, and datasets. • Support financial and people analytics, revenue and margin reporting, operational workflows, and compliance/audit needs. • Provide tooling, infrastructure, and best practices to empower the Operations Data team and other internal data consumers. • Design and implement ETL/ELT pipelines, schemas, and transformations in our AWS environment. • Debug complex data issues, especially those spanning payments, benefits, and financial systems. • Establish standards for data reliability, testing, documentation, privacy, and governance. • Create clarity where none exists—define architectural direction, roadmap, SLAs, data contracts, and cross-team processes. • Anticipate scaling needs and prepare the platform for increased volume, complexity, and product usage. • Influence product and engineering teams on event instrumentation, schema design, and logging to ensure downstream data is structured and reliable. • Define the future data engineering team structure, establish foundational patterns, tooling, and documentation, and position Benepass to scale efficiently once we do grow the team.