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# Staff Data & AI Platform Engineer job in Scarborough

- **Company:** Ahold Delhaize Usa
- **Location:** Scarborough, ME, United States
- **Experience:** Expert
- **Salary:** $136,160.0 - $204,240.0
- **Contract:** Permanent contract
- **Skills:** Build Automation, Microsoft Azure, Continuous Integration, Information Engineering, Distributed Computing Environment, Performance Tuning, Cloud Services, Ansible, Privacy Controls, Datadog, Data Logging, Feature Store, Scripting, Cloudformation, AI Platforms, Terraform, Software Version Control, Databricks
- **Published:** October 29, 2026
- **Apply:** https://jobs.diversity.com/career/2549267/staff-data-ai-platform-engineer-maine-me-scarborough

## About the Role

* 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.

Preferred Qualifications

 * Experience with feature stores and ML ready data patterns.

 * Knowledge of cost optimization and workload right sizing.

## Description

* 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.
 * May be called upon to support critical escalations and must be available during urgent IT incidents as needed.