Azure ETL & Data Platform Engineer – Lakehouse & Fabric

Artifintech; Redmond (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a senior data engineer in Redmond to design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory. You will build a metadata-driven Lakehouse and orchestration layer to support cross-agent queries, enabling interactive data access with Power BI and Azure OpenAI.

You will ensure data quality, governance, and cost-optimized storage/compute, collaborating with product teams to deliver scalable analytics solutions.

Qualifications

• 7+ years of data engineering experience focused on Microsoft Azure and Fabric tech.
• Proficiency with Fabric Lakehouse, Dataflows Gen2, Pipelines and Notebooks.
• Experience with ADF, Azure SQL, and ADLS Gen2 for data storage and processing.
• Strong SQL, Python and PySpark/Scala skills; working with JSON/XML/Parquet data.

Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory.
• Build metadata driven Lakehouse architecture with threaded datasets.
• Develop agent-specific data lakes and an orchestration layer for cross-agent queries.
• Enable interactive data consumption via Power BI, Azure OpenAI, and AI tools.
• Ensure data quality, lineage, and governance across ingestion and transformation.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.

Skills

Azure Data stack

Microsoft Fabric Lakehouse

Azure Data Factory

Power BI

SQL

Python

PySpark/Scala

Data governance

Tools

Azure Data Factory

Azure SQL

Azure Data Lake Storage Gen2

Power BI

SQL

Python

PySpark/Scala

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a senior data engineer in Redmond to design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory. You will build a metadata-driven Lakehouse and orchestration layer to support cross-agent queries, enabling interactive data access with Power BI and Azure OpenAI.

You will ensure data quality, governance, and cost-optimized storage/compute, collaborating with product teams to deliver scalable analytics solutions.