Senior Data & AI Platform Engineer — Hybrid (3 in/2 remote)

ADUSA Corporate Support; Chicago (IL); Hybrid; USD 136,000 - 204,000; Full time

Job summary

Ahold Delhaize USA, a major US grocery retailer services provider, seeks a Staff Data & AI Platform Engineer to design reference architectures for ingestion, transformation, and delivery of data. You will embed automation, observability, and security into pipelines while shaping reusable patterns across teams.

The role requires 10+ years in data engineering, deep Azure experience, and strong collaboration across disciplines. Hybrid work with in-person days across core locations is supported.

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 (access, encryption, masking) 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.

Skills

Azure

Databricks

Datadog

Distributed data processing

Orchestration

Storage patterns

Automation scripting

Version control

Cross-team communication

Education

Bachelor's degree or equivalent

Tools

Azure

Databricks

Datadog

Job description

Ahold Delhaize USA, a major US grocery retailer services provider, seeks a Staff Data & AI Platform Engineer to design reference architectures for ingestion, transformation, and delivery of data. You will embed automation, observability, and security into pipelines while shaping reusable patterns across teams.

The role requires 10+ years in data engineering, deep Azure experience, and strong collaboration across disciplines. Hybrid work with in-person days across core locations is supported.