Senior Data Engineer

Wipfli is a company that values its people and encourages individual paths. The Senior Data Engineer will be responsible for advancing a modern data lakehouse, supporting data democratization, and collaborating with team members to enhance products and processes.

Responsibilities:

• Lead influence and consensus building efforts for recommended solutions
• Support and document the continued evolution of the firm’s data lakehouse using the medallion architecture
• Translate requirements into effective data models to support visualizations, AI\ML models, etc. leveraging design best practices and team standards using approved tools
• Develop in data technologies such as Databricks, Microsoft Azure Data Factory, Python, t-SQL
• Manage the execution of project life cycle activities in accordance with the Information Team scrum processes and tools such as Microsoft Azure DevOps
• Achieve/maintain proficiency in required skills identified by the Information Team to effectively deliver defined products
• Collaborate with team members to evolve products and internal processes
• Mentor other Engineers and other IT associates as needed
• Perform on-call support for after business hours as needed

Requirements:

• Demonstrated success in working on a modern data platform with Databricks experience being preferred. Accredited certification(s) and/or 5+ years hands on desired
• Naturally curious with the ability to learn and implement new concepts quickly
• A mastery of extracting and landing data from source systems via all access methods
• A commitment to operational standards, quality, and accountability for testing, code reviews/management and documentation
• Engaged in the virtual team experience leveraging video conferencing (cameras on) and a focus on relationship building
• Extra credit for Workday RaaS and/or Microsoft Dynamics/Dataverse skills