Senior Data & AI Platform Engineer - Hybrid

ADUSA Corporate Support; Scarborough (ME); Ibrido; USD 136.000 - 204.000; Tempo pieno

Descrizione del lavoro

Ahold Delhaize USA is seeking a Staff Data & AI Platform Engineer in Scarborough, ME, to design reference architectures for data ingestion, storage, and delivery. The role embeds automation, observability, and security across pipelines, with a focus on reliability and scalable data products.

The position allows a flexible/hybrid schedule with 3 in-person days at Scarborough, ME and 2 remote days; candidates must be authorized to work in the United States on a full-time basis.

Competenze

• 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.

Mansioni

• Design reusable patterns for batch and streaming ingestion, transformations, and data product delivery.
• Build automation for quality, lineage, and governance checks integrated into CI/CD, including deployment scripts and templates.
• Create and evolve internal tooling, developer platforms, and golden paths 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.

Conoscenze

Data engineering

Distributed data processing

Automation/scripting

Cross-team communication

Formazione

Bachelor's degree or equivalent

Strumenti

Azure

Databricks

Datadog

Descrizione del lavoro

Ahold Delhaize USA is seeking a Staff Data & AI Platform Engineer in Scarborough, ME, to design reference architectures for data ingestion, storage, and delivery. The role embeds automation, observability, and security across pipelines, with a focus on reliability and scalable data products.

The position allows a flexible/hybrid schedule with 3 in-person days at Scarborough, ME and 2 remote days; candidates must be authorized to work in the United States on a full-time basis.