Hard Rock Digital
Senior Data DevOps Engineer
operationsfull-timeWorldwide
SALARY
Not specified
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
fintech
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About the role
Headquarters: Florida, United States Job description What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates with passion for learning, operating and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us? What’s the position? We are seeking an experienced Senior Data DevOps Engineer who excels at architecting scalable data infrastructure, leading technical initiatives, and mentoring engineering teams. You'll work as a senior member of the Data DevOps team, driving strategic technical decisions while collaborating with Data Science, Machine Learning, Reporting, and other data-related teams to deploy and support cutting-edge data applications. This high-impact role will position you as a technical leader, shaping the future of our data infrastructure and establishing best practices across the organization. What will you do? As a Senior Data DevOps Engineer, you will: Architect and lead the design of complex, enterprise-scale data pipelines using Airflow, DBT, and Databricks. Define and implement strategies for pipeline performance optimization to support real-time and batch processing at scale. Lead the design and optimization of AWS-based data infrastructure, including S3, Lambda, and Snowflake architecture Establish and enforce best practices for cost-efficient, secure, and scalable data processing across the organization. Design and optimize AWS SageMaker environments for ML teams, ensuring optimal performance an
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