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Artmac · 3 hours ago

Senior Data Engineer - Microsoft Fabric & Azure Analytics

Redmond, WA

Contract

Onsite

Senior Level, Lead/Staff

9+ years exp

Artmac is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers. They are seeking a Senior Data Engineer with a strong focus on Microsoft Azure Data stack and Fabric technologies to design, implement, and manage data pipelines and architectures.

Digital MarketingInformation TechnologyWeb DesignWeb Development

H1B Sponsor Likely

Responsibilities

7+ years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies

Expertise in Microsoft Fabric: Lakehouse, Dataflows Gen2, Pipelines, Notebooks

Strong experience with Azure Data Factory, Azure SQL, and Azure Data Lake Storage Gen2

Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet)

Experience with conversational AI platforms or integration with AI-driven analytics

Knowledge of multi-agent orchestration and federated query systems

Strong track record of scaling data pipelines and optimizing compute/storage performance

Proven ability to build metadata-driven architectures and reusable components

Proficiency in Power BI or other visualization and reporting tools

Strong programming skills in SQL, Python, PySpark, and/or Scala

Familiarity with agent-based architectures and conversational AI integration is a plus

Solid understanding of data modeling, governance, security, and best practices

Design, implement, and manage ETL/ELT pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, Warehouse, SQL) and Azure Data Factory

Build and maintain metadata-driven Lakehouse architectures with threaded datasets to support multiple data consumption patterns

Develop agent-specific data lakes and an orchestration layer for a central “uber” agent capable of querying across agents to answer customer questions

Enable interactive analytics and AI-driven insights via Power BI, Azure OpenAI, and other tools

Ensure data quality, lineage, security, and governance across all ingestion and transformation processes

Collaborate closely with product, analytics, and AI teams to understand business requirements and deliver scalable solutions

Optimize storage, compute, and pipeline performance while balancing cost-efficiency

Document best practices, standards, and reusable components to enable long-term maintainability

Qualification

Microsoft Azure Data stackMicrosoft FabricData engineeringPower BISQLPythonETL/ELT pipelinesData modelingData governanceData securitySoft skills

Required

9 – 18 years of experience