Senior Data Architect for Enterprise Data Modeling

3 weeks ago


Raleigh, North Carolina, United States Focused HR Solutions Full time

Establish a strong presence in the field of enterprise data modeling as a Senior Data Architect with Focused HR Solutions. This pivotal role requires expertise in designing and implementing data models that meet business and technical requirements, leveraging cutting-edge technologies like Microsoft Dataverse, Azure Data Factory, and SQL Server.

About the Job

This is a 100% remote position, requiring EST business hours adherence. As a key member of our team, you will provide leadership on data analysis projects across the DEQ enterprise, collaborating with data analysts, architects, and application developers to create an enterprise data model that aligns with the client's goals.

Key Responsibilities
  • Analyze complex data environments and design optimal data models using Microsoft Dataverse, SQL Server, and Azure Data Factory
  • Leverage proven skills in critical thinking, problem-solving, and communication to drive project success
  • Collaborate with stakeholders to understand business requirements and develop tailored solutions
  • Stay up-to-date with emerging trends and technologies, adapting your skillset to meet evolving needs
Requirements
  • 3+ years of experience in data architecture, data modeling, or a related field
  • Proficiency in Microsoft Dataverse, Azure Data Factory, and SQL Server
  • Strong analytical and problem-solving skills, with excellent communication and collaboration abilities
  • Bachelor's degree in Computer Science, Engineering, or a related field
About the Company

Focused HR Solutions is a leading provider of innovative HR solutions, dedicated to helping organizations achieve their goals through strategic talent management and data-driven decision-making.

This position offers a competitive estimated salary range of $120,000 - $160,000 per year, based on industry standards and location. If you are passionate about driving business success through data-driven insights, we encourage you to apply.



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