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Senior Analytics Engineer

Wake Forest University Winston-Salem, NC

Winston-Salem, NC

Today

Full time Senior Aws Athena Aws Data Engineer

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Job Description

Wake Forest University is hiring a Senior Analytics Engineer to partner with campus stakeholders and modernize analytics toward an AWS lakehouse architecture and Microsoft Fabric.

Responsibilities

Partner with stakeholders across campus to understand questions before defining solutions (requirements gathering as an ongoing conversation)
Advise on data architecture, data management, and governance practices for units building their own analytics capability
Coach and support customers through implementation and adoption
Design and develop end-to-end data pipelines, models, and analytic products across source systems, including Workday (SIS, Finance, HCM)
Write SQL that is complex, performant, and readable enough for long-term maintainability
Build and tune curated data layers using AWS Lake Formation/Athena and Microsoft Fabric
Deliver reporting through Power BI and other analytics tools
Own solutions through the lifecycle: discovery, design, build, test, deploy, support, and iterate
Help transition integration work from SnapLogic toward spec-driven development in Python with AI-assisted tooling
Contribute to decisions on future warehouse direction by evaluating Redshift and Snowflake
Support responsible retirement of legacy reporting in Cognos without disrupting current users
Scope and contribute to AI projects, separating improvements that genuinely advance work from those that only look effective

Requirements

5+ years hands-on experience building a data warehouse, data pipeline, or analytics solutions in a professional setting
Strong SQL: ability to write, debug, and optimize complex queries against large datasets
Working proficiency in Python, or clear evidence you can get there quickly
Experience with a cloud data platform (AWS, Azure, or GCP) and modern warehouse or lakehouse patterns
Experience building reports and dashboards in a modern BI tool (Power BI, Tableau, Cognos, Looker, or similar)
Ability to translate between technical and non-technical audiences, with patience for stakeholders who are not data professionals
Self-starter approach: pick up ambiguous problems, ask good questions, and make progress without a task list
Genuine interest in learning technologies not yet used
Bachelor’s degree

Preferred

Experience with Workday, particularly Prism or Reports
Higher education experience, or experience with student, finance, or HR data domains
Experience with Microsoft Fabric, AWS Lake Formation, or Athena
Integration platform experience including SnapLogic, Informatica, Fivetran, dbt, or Airflow
Practical experience applying LLMs or AI agents to engineering or analytics work
Experience with data governance, data quality, or master data management

Technologies

SQL
Python
AWS Lake Formation
AWS Athena
Microsoft Fabric
Power BI
Workday (SIS, Finance, HCM)
SnapLogic
Redshift
Snowflake
Cognos
Tableau
Looker

Benefits

Real support for learning, including training, certification, and time to explore new tools
Hybrid flexibility by default, with roughly one day per week on campus
Small team environment where work is visible and judgment matters

Additional Information

Full-time
Individual contributor role working as part of a team and applying established standards while developing skills
Guidance and direction provided by senior team members and management on more complex tasks
Background investigations and drug screens for final staff candidates
Accommodations available for applicants with disabilities via AskHR@wfu.edu or (336) 758-4700
This position is not eligible for sponsorship of non-immigrant or immigrant visa status through Wake Forest University

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