Senior Data Platform Architect - AI & Lakehouse Expert

xebiacee; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

xebiacee is seeking a hands-on Data Architect to shape data platform solutions from early client discovery through architecture and prototyping. The role blends engineering with solution design: clarifying needs, presenting proposals, assessing delivery constraints, and developing reusable patterns for recurring problems.

You will lead discovery workshops, advise presales on architecture, translate complex requirements into high-level designs, and prototype solutions while shaping the target

Qualifications

• Hands-on experience as a data or solution architect with a strong engineering background.
• Practical knowledge of major cloud platforms (Azure, AWS, or GCP) and modern data platforms such as Databricks or Snowflake.
• Experience designing lakehouse architectures, including Delta Lake or Iceberg, medallion layers, batch, and streaming workloads.
• Experience with data platform migration and modernization, and with integrating business systems and data platforms.
• Understanding of AI coding agents and GenAI patterns such as LLMs, RAG, MLOps, and AI-ready pipelines.
• Ability to create architecture proposals and high-level designs, assess delivery risks, and communicate with technical and non-technical audiences.

Responsibilities

• Lead discovery workshops, explore requirements, and present solution and architecture options.
• Advise presales teams on architecture and contribute to proposal development.
• Translate business and technical needs into high-level designs, including risks, dependencies, and constraints.
• Prototype solutions while shaping the target architecture.
• Help project teams resolve difficult technical problems.
• Develop reusable patterns and accelerators based on recurring client needs.

Skills

Data architecture

Cloud platforms

Databricks

Snowflake

GenAI patterns

Tools

Delta Lake

Iceberg

LLMs

Job description

xebiacee is seeking a hands-on Data Architect to shape data platform solutions from early client discovery through architecture and prototyping. The role blends engineering with solution design: clarifying needs, presenting proposals, assessing delivery constraints, and developing reusable patterns for recurring problems.

You will lead discovery workshops, advise presales on architecture, translate complex requirements into high-level designs, and prototype solutions while shaping the target