Senior Data & AI Platform Engineer (Hybrid/Remote)

Ahold Delhaize USA; Chicago (IL); Hybrid; USD 136,000 - 204,000; Full time

Job summary

Ahold Delhaize USA in Chicago, IL is seeking a Staff Data & AI Platform Engineer to design reference architectures for data ingestion, transformation, storage, and delivery, embedding automation, observability, and security.

The role offers a hybrid schedule with 3 in-person days at Chicago HQ and 2 remote days; requires extensive data engineering experience and advanced Azure, Databricks, and Datadog skills. Applicants must be authorized to work in the United States.

Qualifications

• Bachelor's degree or equivalent years of work experience.
• 10+ years in data engineering with large scale systems.
• 10+ years working with Azure
• 5+ years working with Databricks
• 5+ years working with Datadog
• Proficiency in distributed data processing, orchestration, and storage patterns.
• Strong automation/scripting skills and version control practices.
• Excellent cross team communication and influence.

Responsibilities

• Design reusable patterns for batch and streaming ingestion, transformations, and data product delivery, optimizing for performance and scale.
• Build automation for quality, lineage, and governance checks integrated into CI/CD, including deployment scripts and pipeline templates that reduce manual effort.
• Create and evolve internal tooling, developer platforms, and golden paths that improve reliability and time-to-delivery for data teams.
• Harden security and privacy controls across platforms and pipelines, integrating controls into automated delivery workflows.
• Elevate reliability with SLOs, telemetry, monitoring/logging/tracing, and automated rollback/reprocessing; contribute to observability implementations (e.g., DataDog).
• Integrate and optimize cloud services and container orchestration where relevant to improve scalability and reduce operational toil.
• Maintain infrastructure as code and repeatable environments using tools such as Terraform, Ansible, or CloudFormation.
• Guide solution decisions for complex programs; run technical reviews and threat/quality modeling to ensure robust outcomes.
• Document standards, playbooks, and reusable components to reduce rework and improve consistency across teams.
• Coach teams on data modeling, performance optimization, and design thinking for data consumer experience.
• May be called upon to support critical escalations and must be available during urgent IT incidents as needed.

Skills

Data engineering

Distributed processing

Automation scripting

Cross-team communication

Data orchestration

Education

Bachelor's degree or equivalent

Tools

Azure

Databricks

Datadog

Job description

Ahold Delhaize USA in Chicago, IL is seeking a Staff Data & AI Platform Engineer to design reference architectures for data ingestion, transformation, storage, and delivery, embedding automation, observability, and security.

The role offers a hybrid schedule with 3 in-person days at Chicago HQ and 2 remote days; requires extensive data engineering experience and advanced Azure, Databricks, and Datadog skills. Applicants must be authorized to work in the United States.