SAP/ERP Transformation - Principal Data Engineer

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Overview

Position Summary

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.

Schedule

Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days.

Authorized to work in the U.S.

Applicants must be currently authorized to work in the United States on a full-time basis.

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.

Serves as the hands-on SAP Transformation Data Conversion Lead, accountable for the engineering approach to extracting, cleansing, harmonizing, transforming, validating, and loading enterprise data into SAP. Partners with data analysts, business data owners, internal engineering teams, and implementation vendors to deliver clean, controlled, auditable ETL pipelines using SAP BusinessObjects Data Services (BODS) and related platforms.

*Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Salisbury, NC.

*Applicants must be currently authorized to work in the United States on a full-time basis.

Responsibilities

Technical

Guide solution decisions for complex programs; run technical reviews and threat/quality modeling to ensure robust outcomes. Coordinate technical delivery with implementation vendors and consulting partners, including reviewing designs and code, resolving dependencies and defects, and ensuring deliverables meet internal engineering standards.

Design

Design reusable patterns for batch and streaming ingestion, transformations, and data product delivery, optimizing for performance and scale. Design, build, test, tune, and maintain SAP BODS jobs, workflows, data stores, reusable transformations, exception handling, and deployment components for mock conversions and production cutover.

Document

Document standards, playbooks, and reusable components to reduce rework and improve consistency across teams.

Establish

Establish automated data-quality controls, reconciliation checks, lineage, audit evidence, monitoring, and exception-management processes to ensure complete and accurate migration results.

Cloud

Integrate and optimize cloud services and container orchestration where relevant to improve scalability and reduce operational toil.

Planning

Plan and support conversion rehearsals, mock loads, cutover execution, rollback and reprocessing procedures, post-load validation, and root-cause remediation across legacy systems and SAP.

Security

Harden security and privacy controls (access, encryption, masking) across platforms and pipelines, integrating controls into automated delivery workflows.

Build

Build automation for quality, lineage, and governance checks integrated into CI/CD, including deployment scripts and pipeline templates that reduce manual effort.

Management

Coach teams on data modeling, performance optimization, and design thinking for data consumer experience.

Teamwork

Work with data analysts, SAP functional teams, and business data owners to translate data-object requirements, mappings, and transformation rules into complete, testable ETL specifications.

Leadership

Lead end-to-end SAP data conversion across extraction, profiling, cleansing, mapping, harmonization, transformation, validation, reconciliation, and load activities.

Create

Create and evolve internal tooling, developer platforms, and golden paths that improve reliability and time-to-delivery for data teams.

• 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.
• Lead end-to-end SAP data conversion across extraction, profiling, cleansing, mapping, harmonization, transformation, validation, reconciliation, and load activities.
• Design, build, test, tune, and maintain SAP BODS jobs, workflows, data stores, reusable transformations, exception handling, and deployment components for mock conversions and production cutover.
• Work with data analysts, SAP functional teams, and business data owners to translate data-object requirements, mappings, and transformation rules into complete, testable ETL specifications.
• Coordinate technical delivery with implementation vendors and consulting partners, including reviewing designs and code, resolving dependencies and defects, and ensuring deliverables meet internal engineering standards.
• Establish automated data-quality controls, reconciliation checks, lineage, audit evidence, monitoring, and exception-management processes to ensure complete and accurate migration results.
• Plan and support conversion rehearsals, mock loads, cutover execution, rollback and reprocessing procedures, post-load validation, and root-cause remediation across legacy systems and SAP.

Requirements

Experience

10+ years in data engineering with large scale systems. Demonstrated experience leading complex SAP data conversion and migration workstreams across master and transactional data objects. Demonstrated experience designing, developing, testing, and operating distributed data pipelines using Apache Spark, SQL, and a modern programming language such as Python or Scala.

Knowledge

Advanced hands-on expertise with SAP BusinessObjects Data Services (BODS), including job design, workflows, data stores, transformations, debugging, performance tuning, scheduling, and migration across environments. Knowledge of cost optimization and workload right sizing. Deep hands-on expertise with Databricks and modern lakehouse architecture, including Spark-based processing, Delta Lake, orchestration, governance, performance optimization, and production operations.

Skills

Strong automation/scripting skills and version control practices. Excellent cross team communication and influence. Proven ability to collaborate with analysts, SAP functional teams, engineers, business stakeholders, and external vendors to convert requirements into executable technical solutions.

Database

Strong SQL, relational database, data mapping, profiling, reconciliation, ETL pipeline development, data quality, stewardship, governance, lineage, and audit-control skills.

Degree

Bachelor's degree or equivalent years of work experience.

Proficiency

Proficiency in distributed data processing, orchestration, and storage patterns.

• Bachelor's degree or equivalent years of work experience.
• 10+ years in data engineering with large scale systems.
• Proficiency in distributed data processing, orchestration, and storage patterns.
• Strong automation/scripting skills and version control practices.
• Excellent cross team communication and influence.
• Demonstrated experience leading complex SAP data conversion and migration workstreams across master and transactional data objects.
• Advanced hands-on expertise with SAP BusinessObjects Data Services (BODS), including job design, workflows, data stores, transformations, debugging, performance tuning, scheduling, and migration across environments.
• Strong SQL, relational database, data mapping, profiling, reconciliation, ETL pipeline development, data quality, stewardship, governance, lineage, and audit-control skills.
• Proven ability to collaborate with analysts, SAP functional teams, engineers, business stakeholders, and external vendors to convert requirements into executable technical solutions.
• Demonstrated experience designing, developing, testing, and operating distributed data pipelines using Apache Spark, SQL, and a modern programming language such as Python or Scala.
• Experience with Databricks and modern cloud data engineering platforms, working with systems integrators , and governing vendor-delivered technical artifacts.

Preferred Qualifications:

• Experience with feature stores and ML ready data patterns.
• Knowledge of cost optimization and workload right sizing.
• Experience supporting a large-scale SAP S/4HANA implementation, transformation, or multi-wave migration program.
• Deep hands-on expertise with Databricks and modern lakehouse architecture, including Spark-based processing, Delta Lake, orchestration, governance, performance optimization, and production operations.

Salary Range NC: $163,280 - $244,920

About Ahold Delhaize USA

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

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Working at Ahold Delhaize USA

At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.

Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.

Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.

We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

Learn More About Our Benefits - Click Here

Legal Disclaimer

Ahold Delhaize USA is an equal opportunity employer.

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 [email protected].