Staff Data & AI Platform Engineer

Company: Ahold Delhaize USA Location: Quincy, MA Type: Full Time Compensation: 561335 Job Family: Data & Analytics Industry: Retail Services Primary Purpose The Staff Data & AI Platform Engineer operates as a senior technical authority who designs reference architectures and reusable patterns for data ingestion, transformation, storage, and delivery-embedding automation, observability, and security into every stage.Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations (Chicago, IL | Quincy, MA | Salisbury, NC | Mauldin, SC| Scarborough, ME) and 2 remote days. Applicants must be currently authorized to work in the United States on a full-time basis. The Staff Data & AI Platform Engineer operates as a senior technical authority who designs reference architectures and reusable patterns for data ingestion, transformation, storage, and delivery-embedding automation, observability, and security into every stage.Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations (Chicago, IL | Quincy, MA | Salisbury, NC | Mauldin, SC| Scarborough, ME) and 2 remote days. Applicants must be currently authorized to work in the United States on a full-time basis. Duties & 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. May be called upon to support critical escalations and must be available during urgent IT incidents as needed. 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. 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. Preferred Qualifications Experience with feature stores and ML ready data patterns. Knowledge of cost optimization and workload right sizing. Salary Range: $136,160.00-$204,240.00Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. 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. Salary Range: $136,160.00-$204,240.00Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. Legal Disclaimer: Ahold Delhaize USA is an equal opportunity employer. view full text Under the Federal Transparency in Coverage rule, group health plans are required to make publicly available machine-readable files that include in-network rates and out-of-network allowed amounts and billed charges. Click here to view the in-network rates and out-of-network allowed amounts and billed charges for health benefits offered by Ahold Delhaize USA. Our employees and prospective employees are treated with respect and dignity. As an equal opportunity employer, we comply with all applicable federal, state and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law. We provide reasonable accommodations to applicants and employees with disabilities. If you have a disability and require assistance in the application process, please contact our Talent Acquisition Department at tad@adusa.com. view full text Apply Now