Remote Enterprise Data Analytics and AI Developer

Jobgether
3d$140,000 - $170,000Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Enterprise Data Analytics Developer - REMOTE. This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. If you're passionate about data and AI, this is your chance to make a difference in a remote-setting environment.

Requirements

  • 7+ years of experience in data engineering, analytics engineering, or AI application development.
  • Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture.
  • Expertise in Microsoft Fabric and AI Foundry technologies.
  • Proficiency in SQL, Python, and KQL with experience in performance tuning.
  • Ability to implement retrieval-augmented generation pipelines and secure data applications.
  • Excellent communication skills to explain complex technical topics to diverse audiences.

Responsibilities

  • Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies.
  • Collaborate with teams to define data and AI roadmaps aligning with business objectives.
  • Develop reference architectures and patterns for data services and AI applications.
  • Shape data service standards and contribute to project planning and execution.
  • Provide technical leadership and mentorship to teams.
  • Coordinate integration with third-party systems and support vendor evaluations.

Benefits

  • Competitive salary range of $140,000 to $170,000 annually.
  • Work remotely with flexible hours.
  • Opportunities for professional development and training.
  • Collaborative and innovative work environment.
  • Access to the latest tools and technologies in the field.
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