Principal Data Engineer

Principal Data EngineerWe are looking for a Principal Data Engineer to shape the future of data at Prodege. This is a high-impact role for someone who wants to own more than pipelines. You will help build the next-generation data platform that powers analytics, experimentation, machine learning, business intelligence, and revenue-driving decision-making across Prodege's products and business domains.In this role, you will own the data stack end to end — from platform architecture and data modeling, to pipeline delivery, governance, observability, and the business outcomes those systems enable. You will work across a complex ecosystem spanning owned and operated brands, performance marketing, rewards, customer experience, and machine learning, helping the company scale faster on a more trusted, modern, and AI-ready data foundation.You will help build the next-generation data platform supporting a business serving 120M+ registered users that has delivered $2B+ in lifetime rewards, operating at real engineering scale with 400TB total data footprint, 100TB Iceberg lake and growing, 50M raw events per day, 500M records of daily pipeline throughput, 50 Kafka topics and growing, and 300K queries per day across multiple engines.This is a deeply hands-on principal role. We are looking for someone who leads by building, shipping, and modernizing production data systems — not someone who stays only at the architecture or strategy layer. If you enjoy solving hard data problems, building durable platforms, and helping teams move faster with better foundations, this role is for you.What Makes This Role ExcitingYou will build the foundation that powers analytics, BI, experimentation, and machine learning across the companyYou will own data from architecture through production outcome, not just pipeline deliveryYou will work across a complex ecosystem spanning owned brands, rewards, performance marketing, customer experience, and MLYou will help power a business serving 120M+ registered users that has delivered $2B+ in lifetime rewardsYou will work on a real production platform at scale: 400TB data footprint, 100TB Iceberg lake, 50M daily events, 500M daily pipeline records, 50 Kafka topics and growing, and 300K daily queriesYou will have principal-level scope to influence platform design, standards, and the future of data engineering across the companyYou will help push the data organization toward a more AI-first engineering futureWhat You'll DoLead the design, build, and evolution of the next-generation data platform across Snowflake, dbt, Iceberg, Trino, Kafka, and related technologiesPersonally drive critical implementations in the data platform, modernizing legacy pipelines and proving out new approaches before scaling them across the teamBuild and optimize high-scale batch, ELT, and near-real-time pipelines for BI, product, experimentation, and ML use casesEstablish durable platform patterns around Medallion architecture, data contracts, schema management, lineage, observability, and governanceDesign and evolve scalable data models and data marts that support business reporting, self-service analytics, and ML workloadsMake key decisions on tooling, orchestration, storage patterns, performance, reliability, and cost efficiencyPartner closely with ML, BI, Product, Engineering, Analytics, and business stakeholders to turn business needs into scalable technical designsBuild data foundations that support model training, feature pipelines, experimentation, and AI-driven applicationsDrive an AI-first mindset by using AI to accelerate development, debugging, design exploration, testing, and documentationMentor data engineers and raise the bar on technical quality, maintainability, and engineering disciplineMust Have6+ years of hands-on experience in Data Engineering, ideally in AdTech, MarTech, Growth, consumer internet, or other high-scale / multi-product environmentsStrong hands-on expertise in SQL, Python, Snowflake, and dbtProven experience designing and building modern data platforms at scaleStrong experience with:batch and near-real-time data pipelinesstreaming / event-driven architecturesmodern data modeling and ELT patternsMedallion architecturedata contracts and schema evolutionProven experience modernizing complex, interconnected data systems with strong ownershipExperience building production-grade data systems that support BI, experimentation, product analytics, and ML use casesStrong judgment across performance, scalability, reliability, and cost tradeoffsExperience partnering cross-functionally with Data Science, BI, Product, Engineering, and business teamsAbility to guide teams toward an AI-first way of working, while maintaining strong validation and engineering disciplineStrong technical leadership and mentoring capability, with the ability to influence across teams without direct authorityComfort operating in ambiguity and still driving systems into productionNice to HaveExperience with Iceberg, Trino, Kafka, Kinesis, Apache Flink, or similar modern lakehouse / streaming technologiesFamiliarity with feature stores, model-serving pipelines, and DataOps practicesExperience supporting experimentation platforms, self-serve BI, or performance marketing use casesExperience in consumer rewards, surveys, monetization, or marketplace-style ecosystemsExperience with cloud-native data stacks and modern observability toolingFamiliarity with AI-assisted or AI-first development practices across data teamsThe anticipated base salary range for this position is $235,000 to $265,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. Prodege is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.Prodege Benefits:Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year.Equal Employment Opportunity StatementAt Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.FCIHOEmployers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.