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Immersive Labs is a leading cyber resilience platform trusted by 30%+ of the Fortune 100, ranked #1 in the Forrester Wave 2026. The company helps organizations test whether people, AI-enabled workflows, and security teams can perform securely under realistic pressure, then turn that performance into evidence for improving readiness.
You will lead and scale an established data engineering team of 8+ engineers, reporting directly to the VP Engineering. This is a key leadership role where you'll own the data engineering function and be responsible for building a world-class platform that powers insights and decision-making across Immersive.
Your mission is to modernize the data architecture, elevate engineering practices, and grow a high-performing, inclusive team known for delivering reliable, scalable data solutions. You'll blend technical credibility with people leadership—mentoring engineers, setting vision, removing blockers, and advocating for data excellence across the organization.
Key responsibilities include:
- Lead and develop 8+ data engineers, driving a culture of continuous learning, inclusion, and technical excellence through coaching, mentoring, and goal-setting
- Define and execute data engineering strategy aligned with product and business priorities, driving the roadmap for modernization and platform reliability
- Champion modernization of data infrastructure, evolving the cloud data warehouse, orchestration layer, and tooling to support scale and performance
- Set and monitor team performance metrics, delivery timelines, and quality standards
- Collaborate cross-functionally with product, analytics engineering, and commercial teams
- Advocate for scalable, secure, and future-proof data solutions; guide adoption of modern data engineering best practices
- Represent the data engineering function in business forums and with senior leadership
- Build an inclusive, high-performing culture where diverse perspectives are valued
The role requires hands-on technical judgment (not daily coding) and strong communication skills to articulate data strategy to both technical and non-technical audiences.
REQUIREMENTS:
- Proven experience leading data engineering, analytics engineering, or platform teams (3+ years) with strong coaching and mentorship style
- Deep understanding of modern data architectures, data integration best practices, orchestration patterns, and cloud-based data platforms (AWS, GCP, or Azure)
- Technical credibility with data engineering practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran
- Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns
- Ability to articulate data strategy and complex technical solutions simply to both technical and non-technical audiences
- Skilled at managing stakeholders, balancing competing priorities, and making data-driven decisions in fast-moving environments
- Experience setting and executing data or technology strategy with demonstrated success growing teams and measuring effectiveness through KPIs and business outcomes
- Collaborative, inclusive leader who values diverse perspectives, fosters psychological safety, and builds highly engaged teams
- Comfortable with infrastructure-as-code concepts (Terraform, CloudFormation) and CI/CD practices
