Staff Data & AI Platform Engineer
About The Position
The Staff Data & AI Platform Engineer is a senior technical authority responsible for designing reference architectures and reusable patterns for data ingestion, transformation, storage, and delivery. The role embeds automation, observability, and security throughout data platforms and workflows. It creates and evolves internal tooling, developer platforms, and golden paths to improve reliability and delivery speed for data teams, while guiding complex technical decisions and coaching teams on data modeling, performance, and data consumer experience. The position uses a flexible hybrid schedule with three in-person days and two remote days each week. In-person work is based at one of the listed core locations: Chicago, Illinois; Quincy, Massachusetts; Salisbury, North Carolina; Mauldin, South Carolina; or Scarborough, Maine. Applicants must be currently authorized to work in the United States on a full-time basis. The role may require support during critical escalations and urgent IT incidents. Ahold Delhaize USA is part of the U.S. family of brands of global food retailer Ahold Delhaize. Its associates provide services to Food Lion, Giant Food, The GIANT Company, Hannaford, and Stop & Shop, across areas including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, and Technology.
Requirements
- Bachelor’s degree or equivalent years of work experience.
- 10 or more years of experience in data engineering with large-scale systems.
- 10 or more years working with Azure.
- 5 or more years working with Databricks.
- 5 or more years working with Datadog.
- Proficiency in distributed data processing, orchestration, and storage patterns.
- Strong automation and scripting skills and version control practices.
- Excellent cross-team communication and influence.
- Must be currently authorized to work in the United States on a full-time basis.
Nice To Haves
- Experience with feature stores and ML-ready data patterns.
- Knowledge of cost optimization and workload right sizing.
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, including access, encryption, and masking, across platforms and pipelines, integrating controls into automated delivery workflows.
- Elevate reliability with SLOs, telemetry, monitoring, logging, tracing, and automated rollback or reprocessing; contribute to observability implementations such as 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 and run technical reviews and threat and 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.
- Support critical escalations and be available during urgent IT incidents as needed.
Benefits
- The company invests in its people and empowers them to learn and grow.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
