Data Engineering Manager
Core
Lead a hybrid team in building data foundations for GenAI and agentic systems, combining business development with hands-on technical delivery on client projects.
Role type
Senior IC Data Engineering Manager (Hybrid Leadership)
Builds
End-to-end cloud data platforms on Azure powering GenAI, agentic systems, and ML use cases
Domain
Data Engineering, GenAI, Cloud Solutions (Azure)
Deliverable
production ML models | infrastructure
Required skills
Cloud data platform design (Databricks, MS Fabric, Snowflake), Large-scale data processing (Python, Spark, SQL), Data warehousing and modeling, Data governance (quality, lineage, privacy), GenAI architecture (vector stores, RAG pipelines), Pre-sales and solution scoping, Team leadership and recruitment
Preferred skills
GenAI application development (RAG, agentic workflows), Vector and document databases (Azure AI Search, Weaviate, MongoDB), Cross-functional collaboration with AI/ML teams, Relevant certifications (Databricks, Azure)
Technologies
Azure, Databricks, MS Fabric, Snowflake, Python, Spark, SQL, Azure AI Search, Weaviate, pgvector, MongoDB, DynamoDB
Responsibilities
Co-create and evolve the "Data for AI" proposition, Support pre-sales activities including client meetings and RFP responses, Act as Data Architect/Tech Lead on client engagements, Guide team members and review architectural decisions, Support recruitment and growth of the Data Engineering practice
Seniority
Senior, hands-on IC with leadership responsibilities