AI Ready Data Engineer

Role: AI Ready Data Engineer

Location: Seattle WA (Hybrid)

Skills Required:

Design and build scalable data pipelines using Microsoft Fabric, Data Factory, Lakehouse, OneLake, and Spark.

We are seeking a highly skilled and forward-thinking Senior/Lead Data Engineer to design, build, and optimize our next-generation data platform built on Microsoft Fabric. In this role, you will architect scalable, high-performance data pipelines leveraging Data Factory, OneLake, Lakehouse, and Apache Spark.

Integrate and transform structured and unstructured data to create AI/GenAI-ready datasets.

Lead/Senior Data Engineer specializing in AI/GenAI Data Preparation. In this role, you will design, build, and optimize scalable data pipelines that unify scattered, multi-modal enterprise data. Your primary focus will be transforming massive volumes of both structured and unstructured data (documents, PDFs, transcripts, media, tables, and APIs) into clean, high-fidelity, and governed AI-ready datasets. You will build the foundational data layer that fuels our Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and autonomous AI agents

Develop data models and architectures supporting analytics, machine learning, and GenAI use cases.

Design, develop, and manage the advanced data models and foundational architectures supporting our business intelligence (BI), machine learning (ML), and Generative AI (GenAI)

Implement data quality, governance, security, and monitoring across the Fabric platform.

Optimize data pipelines and workloads for performance, scalability, and cost efficiency.