Senior Data Engineer

Referral Details

We greatly appreciate your referral, and we look forward to reviewing the qualifications of the candidate you've recommended. Here's a brief overview of the process: After you've completed this referral form, your recommended candidate will be directed to apply for the specific role through our website. This step is crucial for Wipfli to remain compliant with federal laws and to ensure a fair and transparent selection process. Once their application is received, our Talent Acquisition team will evaluate their qualifications, including how well they align with the requirements of the role and the broader needs of our organization. Your referred candidate will remain in our candidate database for future opportunities, offering them additional chances to become part of our team. As the referrer, your role in the recruitment process is to bring potential talent to our attention. We ask that you refrain from discussing updates on the candidate's status, out of respect for their personal consideration. Our Talent Acquisition team will provide you with a final update once the candidate has been informed of their application status. Throughout this process, we may reach out to you with questions or additional information to ensure a seamless and effective referral experience. Thank you for your invaluable contribution to our recruitment efforts, and we sincerely appreciate your understanding and support throughout this process.

If you would like to read more about referral bonus eligibility, please visit InSite: https://wipflillp.sharepoint.com/sites/WipfliAssociateHandbook/SitePages/Associate-Referral-Bonus-Program.aspx

Responsibilities

This role will take direction from the Information Team Director and will be responsible for contributing to the continuous advancement of a modern data lakehouse built to support a rapidly growing firm’s desire to democratize its data asset.   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.

Knowledge, Skills and Abilities

Qualifications: - 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. Extra credit for Workday RaaS and/or Microsoft Dynamics/Dataverse skills. - A commitment to operational standards, quality, and accountability for testing, code reviews/management and documentation. - Engaged in the virtual team experience leveraging video conferencing and a focus on relationship building. Travel is rare, but we do occasionally organize in-person events. Benjamin Dzanic, from our recruiting team, will be guiding you through this process. Visit his LinkedIn page to connect!    #LI-HYBRID #LI-BD1