What You'll Do Define and complete the global data engineering strategy for customer‑facing solutions, aligning technical completion with product vision and customer expectations. Partner closely with Product teams to translate business needs into scalable technical solutions and serve as a senior technical liaison with customers and partners. Lead and mentor a distributed team of managers, engineers, and technical leads, encouraging collaboration, accountability, and innovation. Establish and enforce data engineering guidelines, standards, and processes across multiple platforms and technologies. Drive automation, quality, and performance across data pipelines and customer‑facing systems. Ensure consistent, high‑quality delivery of data products supporting customer data feeds, APIs, reports, and dashboards. Coordinate resource planning, workload distribution, and prioritization across multiple concurrent initiatives. Collaborate deeply with Product Management, Project Management, Architecture, Data Governance & Compliance, Analytics, Data Science, and Application Engineering teams. Build a culture of continuous improvement, encouraging experimentation and adoption of modern engineering practices. Ensure all engineering deliverables align with enterprise data governance, compliance, security, and privacy requirements. Act as a visible leader who can distill complex engineering topics for non‑technical collaborators and influence decisions through clarity and empathy. What We're Looking For Bachelor’s or master’s degree in Computer Science, Data Engineering, or related field. 12+ years of experience in data engineering or analytics delivery, with at least 5 years in senior leadership roles. Proven track record of building and leading customer‑facing data products or analytics platforms. Deep expertise in Snowflake and modern cloud platforms, especially Azure (experience with AWS or GCP a plus). Strong technical proficiency with the modern data engineering stack, including tools such as dbt, Coalesce, Airflow, Fivetran, and Python. Familiarity with DataOps practices, including CI/CD and infrastructure‑as‑code principles. Demonstrated success managing distributed teams across multiple geographies. Outstanding relationship‑building and communication skills; able to work cross‑functionally with executives, product leaders, and customers. Experience driving delivery excellence within Agile and DataOps environments, emphasizing automation and quality. Industry experience in gaming, digital entertainment, iGaming, or iLottery strongly preferred. A strategic yet hands‑on leader who thrives in ambiguity, cuts through complexity, and drives clarity and execution. Benefits Robust benefits package Global career opportunities Travel Expectations Up to 25% Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full‑time basis without the need for current or future visa sponsorship. Equal Opportunity EEO M/F/D/V #J-18808-Ljbffr