Senior Manager, Data Engineering

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Chicago, IL

Ahold Delhaize USA

<p class="p1"><strong><br />Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands &ndash; Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.<br /><br /></strong>Join our Talent Community to stay updated on opportunities with Ahold Delhaize USA. You&rsquo;ll be the first to know about new positions that match your career aspirations. To join, click here: <strong><a href="https://aholddelhaizeusa.careerswithus.com/talent-community" target="_blank" title="Talent Community - Ahold Delhaize USA (careerswithus.com)" rel="noopener noreferrer">Talent Community - Ahold Delhaize USA (careerswithus.com)</a></strong>.&nbsp;</p> <p class="p2">&nbsp;</p> <p class="p1"><strong><a href="https://aholddelhaizeusacareers.appvault.com/create" target="_blank" title="Talent Community " rel="noopener noreferrer"></a><br /></strong></p> https://www.adusa.com/

keywords: position summary,schedule,authorized to work in the u.s.,management,data,engineering,education & experience,skills,preferred

Full Time

422901

Overview: As a Data Engineering Manager, you will lead a team of data engineers in designing, developing, and maintaining our data stack with data operations(dba) and data applications on the Azure and Legacy platform.<br /><br />You will be responsible for ensuring the efficient and secure handling of data, optimizing data pipelines, and supporting data-driven decision-making processes.<br /><br /><br /><strong>Our hybrid work schedule includes 3 in-person days in our Chicago office and 2 remote days.</strong><br /><br /><strong>Applicants must be currently authorized to work in the United States on a full-time basis.</strong>
Responsibilities: <ul> <li>Lead and manage a team of data engineers.</li> <li>Design, construct, and maintain scalable data pipelines and architectures.</li> <li>Oversee the implementation of data solutions using Azure services in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics and Power BI Reporting.</li> <li>Ensure data quality, integrity, and security across all data processes.</li> <li>Collaborate with stakeholders to understand data requirements and deliver solutions that meet business needs.</li> <li>Develop and enforce best practices for data management and governance.</li> <li>Monitor and optimize data systems for performance and cost-efficiency.</li> <li>Provide technical guidance and mentorship to team members.</li> <li>Stay updated with the latest trends and advancements in Azure data engineering.</li> <li>On call Process Management and escalations for solving incidents with on time delivery.</li> </ul>
Requirements: <ul> <li>Bachelor's or Master's degree in Computer Science. Equivalent work experience will be considered.</li> <li>Proven experience as a Data Engineering Manager or similar role.</li> <li>Experience with Architecture, Drawing data flow diagrams and process flows.</li> <li>Strong expertise in Microsoft Azure data services.</li> <li>Proficiency in PowerShell, SQL, Python, and other relevant programming languages.</li> <li>Experience with transactional data and data warehousing solutions.</li> <li>Excellent leadership and project management skills.</li> <li>Strong problem-solving and analytical abilities.</li> <li>Effective communication and collaboration skills.</li> </ul> <br /><br /><strong>Preferred Qualifications</strong><br /><br /> <ul> <li>Azure Data Engineer certification.</li> <li>Experience with Unix systems and scripting with Azure languages like PowerShell, etc.</li> <li>Familiarity with data visualization tools like Power BI.</li> </ul> <br /><br />Salary Range:&nbsp;$146,960&nbsp;- $220,440