Job Opportunities API

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