The vacancy is well-structured with clear responsibilities and compensation details, though some areas could be improved.
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Overview
Join IGT as a Manager of Data Engineering to lead a team in delivering innovative gaming solutions. Drive data engineering initiatives and ensure high-quality data pipelines and products. IGT, where innovation meets entertainment on a global scale! From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences — powered by world-class content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership. Whether it’s spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and long-term value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to customers we serve. If you’re ready to bring your talent to a team shaping the future of entertainment, your next big move starts here.
What you'll do
- •Lead, coach, and develop a team of data engineers, establishing clear expectations for delivery, technical quality, documentation, and production support.
- •Own the planning and delivery of data engineering initiatives across assigned business domains, balancing modernization, integration, operational support, and stakeholder priorities.
- •Translate complex business requirements into scalable, reliable, and maintainable data pipelines, models, and data products.
- •Provide hands-on technical leadership through architecture reviews, code reviews, troubleshooting, and guidance on Databricks, Spark, SQL, and lakehouse design.
- •Establish and enforce engineering standards for bronze, silver, and gold data layers, data modeling, reusable frameworks, testing, source control, and CI/CD.
- •Lead the migration and integration of data from legacy platforms, SAP, Salesforce, operational databases, APIs, and file-based processes into the AWS Databricks environment.
- •Ensure data solutions include appropriate quality controls, reconciliation, observability, lineage, security, RBAC, and production monitoring.
- •Partner with business, analytics, architecture, application, and infrastructure teams to clarify requirements, manage dependencies, and communicate delivery risks and tradeoffs.
- •Maintain continuity for business-critical reporting and operational data processes during system migrations and organizational change.
- •Promote ownership and accountability throughout the full engineering lifecycle, including requirements, development, deployment, documentation, incident resolution, and knowledge transfer.
Conditions
- •Estimated starting compensation range for this role is $55,177–$156,700 USD.
- •Employees may be eligible for bonus or commission opportunities.
- •Comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements.