Key Responsibilities Model Performance and Tuning:

Determine where DirectQuery or Import mode is best in each table ingestion in Power Query. Be able to view and improve SQL generated for Databricks to run using Power Query steps in Power BI Desktop. Collaborate with

Agile Teams:

Work with cross-functional teams to build out new enterprise reporting (from Databricks) that aligns with trusted existing reporting (from Snowflake) and participate in Agile ceremonies.

Explore External Tools:

Research and test new or more efficient options the improve thru put of reporting development and valication.

Document AI Architectures:

Help document model schemas, API integrations, and AI governance standards. Learning & Development Opportunities Hands-on training in Power BI, Databricks and Snowflake technologies. Mentorship from senior Data Engineers and IT Business Analysts working on enterprise-scale deployments. Practical experience building on Cloud/SaaS reporting infrastructure (e.g. Power BI Service, Azure, Databricks, Snowflake).

Platform Support & Administration:

Assist in day-to-day administration of analytics and AI platforms such as Databricks, Snowflake, Power BI Service, and other SaaS solutions.

Monitoring & Troubleshooting:

Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.

Incident & Problem Resolution:

Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.

Access & User Management:

Help manage users, roles, permissions, and access requests while following security and governance standards.

Cloud & SaaS Exposure:

Gain practical exposure to cloud architecture concepts (primarily Microsoft Azure) and understand how SaaS platforms integrate with cloud services.

Documentation & Runbooks:

Assist in creating and maintaining support documentation, operational guides, and standard operating procedures.

Collaboration & Learning:

Work closely with BI, AI, and Platform teams in an Agile environment and participate in team meetings and knowledge-sharing sessions. What You Will Learn Fundamentals of cloud and SaaS platform administration How enterprise analytics platforms are operated and supported Troubleshooting and problem-solving techniques for real-world production systems Basic monitoring, access management, and platform governance concepts How analytics, BI, and AI workloads run on modern cloud platforms Qualifications Current graduate student in Computer Science, Artificial Intelligence, Mathematics, or a related field. Foundational programming skills in writing moderately complex SQL. Familiarity with AI concepts through coursework or personal projects. Excellent problem-solving skills and a high degree of technical curiosity. Eager to learn in a rapidly evolving field and able to adapt to new tools quickly. Requirements vs.

Optional:

Need:

Power BI experience in creating Semantic Models that reference a data warehouse and then validating those to the source or spot checking against existing report (Power BI and MicroStrategy / Strategy are widely used).

Need:

Ability to write and understand SQL.

Optional:

Ability to use Excel for validating results from reporting.

Optional:

Any advanced methods that use AI Agentic… options for transitioning logic in Power BI Semantic Models from one database (e.g. Snowflake) to another (Databricks) Currently pursuing an undergraduate or graduate degree in Computer Science, Information Systems, IT, Engineering, or a related field. Strong interest in cloud technologies, SaaS platforms, and system operations. Willingness to learn, troubleshoot issues, and dig into how platforms work. Analytical mindset with good problem-solving skills. Strong communication skills and ability to document learnings clearly. Self-motivated, curious, and comfortable working in a team-based environment.

Helpful / Preferred

Experience Coursework or hands-on exposure to Microsoft Azure. Azure Fundamentals (AZ‑900) course completion or certification is helpful (not required). Familiarity with cloud computing concepts (compute, storage, networking, identity). Basic knowledge of SQL, scripting, or data concepts. Exposure to analytics or BI tools (Power BI, Tableau, Databricks, Snowflake) is a plus but not required. The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law. We're proud to be a purpose-driven company, connecting people through food they love. Are you our missing ingredient? 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