Customer Data Platform Data Engineer; Hybrid

Position: Customer Data Platform Data Engineer (Hybrid)
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Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands:
Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox,  and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People – and the love their actions inspire – are what drive us.

We’re not only proud of the love we inspire outside our walls, we’re especially proud of the diversity, inclusion and equity we’re inspiring inside. There are dynamic career paths awaiting you – rewarding opportunities to impact the lives of others and inspire love. Join us!

Customer Data Platform Data Engineer

Location:

Dallas, TX or Akron, OH (Hybrid)

POSITION SUMMARY:

We are seeking a highly skilled Data Engineer with deep expertise in SQL, Python, and data modeling, and strong experience designing solutions within the Adobe Experience Platform (AEP) and Real-Time Customer Data Platform (RTCDP) ecosystem. This role is critical to building scalable, reliable, and performant data pipelines that power customer analytics, personalization, and activation use cases.

The ideal candidate combines strong technical execution with thoughtful solution design, collaborating closely with analytics, marketing, and engineering teams to translate business requirements into robust data architectures.

RESPONSIBILITIES:

Design, build, and maintain scalable data pipelines to ingest, transform, and curate data within Adobe AEP and RTCDP.Develop and optimize complex SQL queries and data transformations for large-scale datasets.

Design and maintain data models (conceptual, logical, and physical) that enable efficient analytics, segmentation, and activation use cases.

Experience working with AWS data services such as S3, Redshift, Glue, and related tooling, including building and managing data pipelines from AWS-based source systems into Adobe AEP and RTCDP.Architect end-to-end solution designs leveraging AEP components such as XDM schemas, datasets, identities, profiles, and segmentation.

Ensure high data quality, consistency, and governance across systems by implementing validation, monitoring, and error-handling mechanisms.

Collaborate with business stakeholders, architects, and downstream consumers to understand requirements and deliver scalable data solutions.

Tune performance and optimize pipelines for real-time and batch workloads within RTCDP.Document data architecture, data flows, and operational procedures.

Support integrations with upstream and downstream systems including CRM, web/mobile, and other Mar Tech and analytics platforms.

Demonstrated experience implementing data processing, automation, validation, and orchestration logic.

Follow best practices for security, privacy, and compliance (PII handling, consent, and identity resolution).POSITION

QUALIFICATIONS:

Expert-level SQL skills, with experience writing and optimizing complex queries.

Strong Python programming experience for data engineering use cases.

Proven experience as a Data Modeler, including dimensional and analytical data modeling.

Hands-on experience designing and implementing solutions in:

Adobe Experience Platform (AEP)
Adobe Real-Time Customer Data Platform (RTCDP)

Experience with cloud data platforms (e.g., Snowflake, Big Query, Azure, or AWS).Solid understanding of XDM schemas, datasets, identity stitching, profiles, and segmentation.

Experience building batch and real-time data pipelines.

Strong problem-solving and analytical skills.

Ability to communicate technical concepts clearly to both technical and non-technical audiences.

Preferred Qualifications:

Familiarity with streaming or event-based data architectures.

Experience with data orchestration tools and CI/CD practices.

Knowledge of customer data, marketing technology, and personalization use cases.

Prior experience in enterprise-scale data environments.

BENEFITS & PERKS:

Competitive healthcare, dental & vision insurance
401(k) matching after one year of employment

Generous time off + company holidays

Merchandise discount

Learning & Development programs

Much more!
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