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Data Platform Engineer

BetWarrior

EShybridPosted Jun 4, 2026

Skills

snowflakepythonazurecicdawsdbtllmgoml

About the role

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 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

Questions about this role

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