Staff Data & AI Platform Engineer

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/join-our-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.,cloud,security,technical,build,management,design,document,create,maintenance,support,experience,skills,degree,proficiency,knowledge

Full Time

561335

Overview: The <strong>Staff Data &amp; AI Platform Engineer </strong>operates as a senior technical authority who designs reference architectures and reusable patterns for data ingestion, transformation, storage, and delivery-embedding automation, observability, and security into every stage.<br /><br /><strong>Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations </strong>(Chicago, IL | Quincy, MA | Salisbury, NC | Mauldin, SC| Scarborough, ME) <strong>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>Design reusable patterns for batch and streaming ingestion, transformations, and data product delivery, optimizing for performance and scale.</li> <li>Build automation for quality, lineage, and governance checks integrated into CI/CD, including deployment scripts and pipeline templates that reduce manual effort.</li> <li>Create and evolve internal tooling, developer platforms, and golden paths that improve reliability and time-to-delivery for data teams.</li> <li>Harden security and privacy controls (access, encryption, masking) across platforms and pipelines, integrating controls into automated delivery workflows.</li> <li>Elevate reliability with SLOs, telemetry, monitoring/logging/tracing, and automated rollback/reprocessing; contribute to observability implementations (e.g., DataDog).</li> <li>Integrate and optimize cloud services and container orchestration where relevant to improve scalability and reduce operational toil.</li> <li>Maintain infrastructure as code and repeatable environments using tools such as Terraform, Ansible, or CloudFormation.</li> <li>Guide solution decisions for complex programs; run technical reviews and threat/quality modeling to ensure robust outcomes.</li> <li>Document standards, playbooks, and reusable components to reduce rework and improve consistency across teams.</li> <li>Coach teams on data modeling, performance optimization, and design thinking for data consumer experience.</li> <li>May be called upon to support critical escalations and must be available during urgent IT incidents as needed.</li> </ul>
Requirements: <ul> <li>Bachelor's degree or equivalent years of work experience.</li> <li>10+ years in data engineering with large scale systems.</li> <li>10+ years working with Azure</li> <li>5+ years working with Databricks</li> <li>5+ years working with Datadog</li> <li>Proficiency in distributed data processing, orchestration, and storage patterns.</li> <li>Strong automation/scripting skills and version control practices.</li> <li>Excellent cross team communication and influence.</li> </ul> Preferred Qualifications<br /> <ul> <li>Experience with feature stores and ML ready data patterns.</li> <li>Knowledge of cost optimization and workload right sizing.</li> </ul> Salary Range: $136,160.00-$204,240.00<br /><br />Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.