Data Platform Engineer

Description

**JOIN OUR TEAM** BetWarrior is a next\-generation digital gaming company with a bold mission: to redefine the way people experience sports betting and casino entertainment across Latin America. With a dynamic and diverse team, deep market insights, and cutting\-edge technology, we're creating an experience that is personalized, responsible, and always player\-first. Great people, bold ideas, and a sharp focus on user experience set us apart **Purpose** We're looking for a Data Platform Engineer to shape and scale BetWarrior's data ecosystem as a strategic capability. This is a high\-ownership, high\-impact role: you'll define how we build, scale, and evolve our data platform — and you'll drive the data foundations that power our product, analytics, and AI roadmap. You'll work cross\-functionally with Engineering, Product, BI, Data Science, Finance, Marketing, and Leadership. If you combine deep technical depth with strategic thinking and want to join a fast\-growing environment with a clear track to expand your scope and long\-term strategic impact — this is your move. **In this role, you’ll** * Design and own scalable data platforms for real\-time and batch processing across Azure, AWS, and Snowflake. * Architect warehouse solutions, semantic layers, and data\-sharing capabilities across domains. * Set the standards for data modeling, orchestration, lineage, observability, and quality. * Build the AI/ML data infrastructure: feature stores, training pipelines, vector databases, RAG architectures, and LLM\-ready data products. * Evaluate and integrate AI\-native tooling into the data platform. * Build and optimize robust ELT/ETL pipelines — low\-latency, trusted, business\-critical. * Lead technical decisions on orchestration, CI/CD, and infrastructure automation. * Leverage AI\-assisted development practices (code generation, automated testing, AI code review) to raise velocity and standards. * Build self\-healing, self\-optimizing pipelines using ML\-driven observability. * Own monitoring, alerting, and operational excellence for the data platform. * Ensure compliance with governance, security, masking, and regulatory standards. * Collaborate closely with data leadership today to co\-create BetWarrior's data platform strategy, with the mindset to own and drive its long\-term evolution. * Influence technical and operational decisions, acting as a strategic partner to the business as the data domain scales**.** * Mentor and pair with engineers and analysts, raising engineering standards across the team. * Drive experimentation, personalization, fraud prevention, and player analytics capabilities. * Champion data culture and democratize data access across the company. **What we look for in an exceptional candidate** * 7\+ years in Data Engineering, Data Platform, or Analytics Engineering. * Snowflake expertise: performance optimization, architecture, governance, advanced platform capabilities. * Solid experience with Azure and AWS for large\-scale data processing. * Expert\-level SQL and strong Python skills. * Deep understanding of modern data architecture: dimensional modeling, semantic layers, distributed systems. * Experience with DataOps, CI/CD pipelines, infrastructure automation, and orchestration frameworks. * Experience building data infrastructure for AI/ML workloads (feature stores, vector DBs, or LLM integration). * Familiarity with AI\-assisted engineering practices and tools. * Strong cross\-functional stakeholder management and organizational communication skills. * Proven ability to mentor, elevate technical teams, and guide architectural vision. * You've been the go\-to person for data architecture decisions in at least one previous org. * Excellent English communication skills. Fluency in Spanish is a valuable plus. **Bonus points if you also have** * Experience in gaming, betting, fintech, or other high\-volume transactional environments. * Hands\-on experience with KNIME Analytics Platform. * Experience with semantic layer technologies (e.g., AtScale, dbt Semantic Layer). * Experience implementing AI\-driven data quality, anomaly detection, or automated pipeline optimization. * Background in building self\-service analytics ecosystems or experimentation frameworks. **We expect every team member to live our values** **Accountability \& Ownership –** Take charge, own your craft **Reliability –** Deliver with quality and consistency **Teamwork –** Collaborate, challenge, and grow together **Winner Spirit –** Compete with purpose and grit **Wellbeing –** Build a career that energizes you **Curiosity \& Innovation –** Keep questioning. Keep improving