SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Join The Stepstone Group's Data Platform team as a Staff/Principal Engineer providing technical leadership and architectural direction. You will define and evolve the technical vision and roadmap for the Data Platform, driving decisions across data, platform, and infrastructure domains. Working closely with Engineering Managers, Product Managers, and Enterprise Architects, you'll build scalable, reliable, and well-governed data platform capabilities that support analytics, AI, and business-critical products.
Key responsibilities include:
- Defining and evolving the technical vision, roadmap, and architecture of the Data Platform across data, platform, and infrastructure domains
- Establishing engineering standards, best practices, and reusable patterns in partnership with Enterprise Architecture
- Driving engineering excellence by improving code quality, testing, observability, reliability, and operational practices
- Supporting end-to-end delivery by guiding teams through complex technical challenges and contributing to planning and risk management
- Mentoring engineers, growing senior technical capabilities, and championing AI-assisted development and engineering automation
The Stepstone Group operates over 20 brands across 30+ countries with 3,000+ employees, focused on creating fair and equitable hiring opportunities globally.
Requirements:
- Proven experience as a Staff Engineer, Principal Engineer, or equivalent senior individual contributor leadership role
- Strong background in data platforms, distributed systems, and cloud-native architectures, with experience shaping technical direction across teams and stakeholders
- Solid expertise in relevant technologies: AWS, Terraform, Kafka/MSK, Airflow, Glue, or Spark, with demonstrated ability to build scalable data solutions
- Knowledge of modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, and batch/streaming processing
- Knowledge of data quality, governance, cataloguing, and observability tools (e.g., Datadog); DBT or AI-assisted engineering practices a plus
The role offers hybrid working, 29 days holiday plus bank holidays, private medical and dental healthcare, pension contribution up to 10%, and additional benefits including life assurance, cycle to work scheme, and volunteering days.