Technical Lead - Analytics Engineer
Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We’re building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game.The Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk. You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team. This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business. Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt. What You'll Do: Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics. Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability. Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders. Embed data quality checks, documentation, and governance directly into analytics pipelines. Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products. Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing. Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate. This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers. What You'll Bring: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline. Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams. Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement. Data Engineering Background: 7+ years of experience in data warehousing or developm...