Data Lakehouse Architect
Core
Design and implement end-to-end data lakehouse platforms, data products, and marketplaces to enable agentic workloads and serve business data products.
Role type
Senior Data Lakehouse Architect
Builds
Data lakehouse platforms, data products, data marketplace, and agentic workloads
Domain
Financial Services (FSI) / Data Engineering & AI
Deliverable
production ML models
Required skills
Data lakehouse architecture, Open Table Formats (Iceberg, Hudi, Delta Lake), Data Federation (Trino, Denodo, Dremio), MPP and Distributed Compute, RAG and Embedding strategies, Vector DB, Graph DB, Infrastructure-as-Code, Kubernetes/OpenShift, DevOps integration
Preferred skills
Migration from MPP appliances (Teradata, Greenplum, Netezza), Containerization (Helm, Kustomize)
Technologies
Databricks, Snowflake, Cloudera, Huawei, Alibaba, Google Cloud, AWS, Azure, Trino, Denodo, Dremio, Hive, Impala, Apache Kudu, Kubernetes, Openshift, Helm, Kustomize
Responsibilities
Design target architecture for scalability and security; create roadmaps and technical frameworks for new patterns; define data contracts, SLAs, and quality rules; select tools via RFP/POC; create technical documentation; partner with business users and technology functions.
Seniority
Senior, hands-on IC
