Principal Data Architect

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

Role overview

Shape data platform solutions from early client discovery through architecture and prototyping. The role combines hands‑on engineering with solution design: clarifying needs, presenting proposals, assessing delivery constraints, and developing reusable patterns for recurring problems.

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.

Requirements

• Recent, hands‑on experience as a data or solution architect, with a strong engineering background.
• Practical knowledge of at least one major cloud platform—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 agentic data engineering and AI coding agents, as well as AI/ML 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.
• Must be based in the European Union and have a valid work permit.

Nice to have

• Technical leadership, including guiding project teams and setting direction.
• Experience with data governance, security, and quality, or with broader enterprise cloud data services.
• Hands‑on delivery of AI‑powered solutions, proposal or bid support, or relevant cloud and data platform certifications.