Azure Data Engineer/Architect

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

ADF
Boomi
Microsoft SQL Server
Microsoft SQL Server Management Studio (SSMS)
Microsoft SSAS
Microsoft SSIS
SQL Azure

Job Details

Job Summary:
Our client is seeking a Data Integration Specialist with experience in Azure, SQL, Microsoft Fabric, and data warehousing to support their growing team of developers. The ideal candidate will play a pivotal role in transitioning the acquired company’s systems to their platform, assisting with critical go-live phases and future initiatives. This position is integral to meeting project deadlines and ensuring a seamless migration from legacy integration tools to Microsoft Azure and Fabric-based platforms.
Responsibilities:

  • Design and Develop Integration Solutions
    • Create and implement integration workflows by understanding business requirements, data sources, and target systems.
    • Architect solutions that integrate Microsoft Fabric pipelines, Lakehouses, and OneLake storage with enterprise systems.
  • Build Data Integration Processes
    • Develop and configure ETL processes using Azure Data Factory (ADF) and Microsoft Fabric Data Pipelines to move and transform data between ERP systems, Medius, Workday, and other applications.
    • Use Dataflows Gen2 in Fabric for data ingestion and transformation.
  • Maintain Data Warehouse and Lakehouse Systems
    • Manage integration from ERP systems and other data sources into both traditional data warehouses and Fabric Lakehouses, ensuring timely and accurate data availability for analytics.
    • Ensure seamless flow of data into Power BI reports through integration with Microsoft Fabric datasets.
  • Implement EDI File Transmission
    • Configure integration systems to handle the transmission and transformation of EDI messages between trading partners, ensuring compliance with industry standards.
    • Integrate with Workday and Medius
    • Establish seamless data movement from Workday and Medius into Microsoft Fabric and Azure environments for effective AP automation and invoice processing.
  • Collaborate with Stakeholders
    • Work closely with business analysts, data architects, and system administrators to gather requirements and deliver scalable integration solutions.
  • Ensure Data Quality
    • Implement validation mechanisms across the data pipeline using Data Quality rules in Fabric to ensure data accuracy, consistency, and conformance with business rules.
  • Optimize Performance
    • Analyze performance of Fabric data pipelines and optimize for speed, cost-efficiency, and reliability.
    • Utilize Performance Analyzer tools in Power BI and Fabric Monitoring Hub for ongoing improvement.
  • Document and Report
    • Maintain detailed technical documentation of integration processes, mappings, configurations, and workflows.
    • Generate metadata and operational reports through Fabric Monitoring and Metrics dashboards.
  • Continuous Improvement
    • Stay current with the latest technologies in Microsoft Azure, Microsoft Fabric, Workday, Medius, and enterprise integration trends.

Qualifications:

  • Experience using Azure Data Factory, Azure SQL DB, Synapse, and Microsoft Fabric (Lakehouses, Pipelines, Dataflows Gen2, OneLake).
  • Heavy SQL experience including SSMS, SSIS, SSAS.
  • Strong understanding of integration technologies including REST/SOAP APIs, JSON, XML, and flat files.
  • Experience integrating with ERP and cloud-based applications (e.g., Workday, Medius).
  • Familiarity with event-driven architectures, Pub/Sub models, and data streaming platforms.
  • Working knowledge of relational databases like SQL Server, Oracle, or MySQL.
  • Excellent technical documentation, design, and collaboration skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.