VP Engineering - Data Products
Core
Senior engineering leader owning the technical roadmap for enterprise-scale data and AI infrastructure, bridging hands-on solution design with commercial/vendor accountability.
Role type
VP Engineering - Data Products (Senior IC with People Leadership)
Builds
Enterprise data platforms, cloud architectures, and AI/agentic capabilities for global clients
Domain
Data Engineering, Cloud Infrastructure, AI/ML
Deliverable
production ML models | infrastructure
Required skills
Cloud data platform leadership, dimensional data modelling, ETL/ELT design, cloud cost management (FinOps), vendor contract negotiation, platform security governance, microservice architecture, CI/CD implementation
Preferred skills
MERN stack development, containerized deployments (Docker/Kubernetes), workflow orchestration (Airflow/n8n), event-driven architecture (Kafka), service mesh (Istio), GraphQL APIs, C4 model documentation
Technologies
Azure Databricks/Spark, Snowflake, Azure Data Lake, Blob storage, PowerBI, Tableau, Python, JavaScript, Azure, AWS, GCP, RESTful protocols, Kafka, Okta, Entra ID, Helm, Jest, Lint, Brigade, PlantUML
Responsibilities
Lead and develop multi-disciplinary engineering organization; define reference architectures and design patterns; provide architectural oversight and mentorship; establish governance frameworks for data products; manage vendor relationships and commercial contracts; drive platform modernization and migration programs; optimize cloud compute costs; integrate AI/agentic systems with data platforms
Seniority
VP level, strategic leadership with hands-on architectural credibility
