Hybrid Senior Data & AI Platform Engineer

Ahold Delhaize USA; Quincy (MA); Hybrid; USD 136,000 - 204,000; Full time

Job summary

Ahold Delhaize USA is seeking a Staff Data & AI Platform Engineer to drive reference architectures for data ingestion, transformation, storage, and delivery. The role emphasizes automation, observability, and security across cloud-native pipelines.

With 10+ years in data engineering and hands-on experience in Azure, Databricks, and Datadog, you will design reusable patterns, lead cross-functional reviews, and guide teams to deliver scalable data products for our brands.

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 batch and streaming data ingestion and transformations for scalable delivery.
• Create CI/CD automation for quality, lineage, and governance checks.
• Develop internal tooling and golden paths to speed delivery for data teams.
• Harden security controls (encryption, masking) across pipelines.
• Improve observability with SLOs, telemetry, monitoring/logging, and automated rollbacks.
• Optimize cloud services and container orchestration for scalability.
• Maintain infrastructure as code with Terraform/Ansible/CloudFormation.
• Guide solution decisions and perform threat/quality modeling.

Skills

Distributed data processing

Orchestration

Storage patterns

Cross-team communication

Education

Bachelor's degree or equivalent years of work experience

Tools

Azure

Databricks

Datadog

Job description

Ahold Delhaize USA is seeking a Staff Data & AI Platform Engineer to drive reference architectures for data ingestion, transformation, storage, and delivery. The role emphasizes automation, observability, and security across cloud-native pipelines.

With 10+ years in data engineering and hands-on experience in Azure, Databricks, and Datadog, you will design reusable patterns, lead cross-functional reviews, and guide teams to deliver scalable data products for our brands.