Lead Data Engineer

Role Overview

As the Lead Data Engineer, you will be responsible for architecting, implementing, and leading the development of our next-generation data platform. You will work across multiple workstreams to establish the standardized data integration framework, implement our core iGaming data model, and build efficient transformation processes that will form the foundation of our advanced analytics and recommendation engine.

Key responsibilities:

• Lead the design and implementation of our unified data integration framework and standardized iGaming data model;
• Architect the data pipeline for batch, real-time, and clickstream data processing;
• Design and implement data transformation frameworks using dbt and other modern data tools;
• Develop secure multi-tenant data architecture with appropriate isolation controls;
• Establish comprehensive data quality frameworks with automated validation rules, monitoring, and alerting;
• Design and implement data governance policies, including metadata management, data lineage tracking, and data catalog solutions.

Team Leadership & Execution:

• Lead a team of data engineers, providing technical guidance, mentorship, and code reviews;
• Collaborate with cross-functional teams including data scientists, analytics engineers, and client implementation specialists;
• Establish engineering best practices, coding standards, and documentation requirements;
• Drive implementation of CI/CD pipelines for data infrastructure and transformation code;
• Manage technical dependencies across workstreams and coordinate development priorities;
• Lead data governance initiatives, working with stakeholders to define data ownership, stewardship roles, and governance processes;
• Foster a culture of data quality and data-driven decision making across the organization.

Client Implementation & Optimization:

• Design client-specific data connectors and transformation processes for major iGaming platforms;
• Implement performance optimization for query execution and resource utilization;
• Develop scalable solutions that can accommodate growing data volumes and client base;
• Work with client implementation teams to ensure successful deployment and data validation;
• Establish monitoring and observability for all data pipeline components;
• Implement comprehensive data quality validation at all stages of the data lifecycle;
• Design and enforce data quality SLAs with proper measurement and reporting;
• Create data quality scorecards and dashboards for continuous improvement.

Required Qualifications:

• 7+ years of experience in data engineering, with at least 3 years in a lead or senior role;
• Expert knowledge of data modeling techniques and dimensional modeling for analytics;
• Extensive experience with AWS data services (Redshift, S3, Glue, Lambda, etc.);
• Strong proficiency with dbt and SQL for data transformation;
• Experience with streaming data technologies (Kafka, Kinesis) and real-time processing;
• Hands-on experience with Python, Airflow (or similar orchestration tools), and infrastructure-as-code;
• Understanding of data security, encryption, and multi-tenant architecture principles;
• Experience implementing CI/CD practices for data infrastructure and pipelines;
• Strong background in implementing data quality frameworks and validation processes;
• Experience with data governance tools, metadata management, and data catalogs;
• Knowledge of data lineage tracking and impact analysis methodologies.

Domain Knowledge:

• Experience working with high-volume, multi-tenant SaaS platforms;
• Understanding of real-time analytics and recommendation engines;
• Familiarity with iGaming or similar transactional platforms is a plus;
• Experience with clickstream data processing and user behavior analytics;
• Knowledge of regulatory compliance requirements related to data governance in regulated industries;
• Understanding of data privacy principles and compliance frameworks (GDPR, etc.);
• Experience implementing data governance in organizations with sensitive customer data.

Leadership and other skills:

• Proven experience leading engineering teams and managing technical projects;
• Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders;
• Strong problem-solving abilities and attention to detail;
• Experience mentoring junior engineers and establishing engineering best practices;
• Track record of successful client-facing technical implementations;
• Ability to build consensus around data governance policies and data quality standards;
• Experience leading cross-functional initiatives and driving organizational change;
• Strong advocacy skills for promoting data quality culture throughout the organization.

What We Offer:

• Opportunity to shape the architecture of a cutting-edge data platform in the iGaming industry;
• Competitive salary and benefits package;
• Collaborative, innovative work environment with the latest tools and technologies;
• Professional growth opportunities and continuous learning;
• Remote-friendly work arrangements with flexible hours.

If you're passionate about building innovative data platforms that drive real business value and are excited about tackling complex technical challenges in a fast-growing industry, we want to hear from you!