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.

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.

Senior Director, Data Engineering – Customer Data Solutions

Key skills