Signet Jewelers

Customer Data Platform Data Engineer (Hybrid)

Signet Jewelers$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expert-level SQL skills for complex query optimization.
  • Strong programming experience in Python for data engineering tasks.
  • Proven data modeling experience in both dimensional and analytical contexts.
  • Hands-on expertise with Adobe Experience Platform (AEP) and Real-Time Customer Data Platform (RTCDP).
  • Experience with cloud data platforms like Snowflake, BigQuery, Azure, or AWS.
  • Solid grasp of identity stitching, profiles, and segmentation in data architectures.
  • Ability to convey technical concepts to varied audiences.

Responsibilities

  • Design, build, and maintain data pipelines for Adobe AEP and RTCDP.
  • Optimize SQL queries and transformations for large datasets.
  • Develop and manage comprehensive data models for analytics and segmentation.
  • Utilize AWS services for data pipeline management and integration.
  • Architect solutions leveraging AEP components for effective data management.
  • Implement mechanisms to ensure data quality and governance.
  • Collaborate with stakeholders to translate requirements into data solutions.

Benefits

  • Competitive healthcare, dental & vision insurance
  • 401(k) matching after one year
  • Generous time off including company holidays
  • Merchandise discount
  • Learning & Development programs
  • Additional unspecified perks
Full Job Description

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 MarTech 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, BigQuery, 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!

About Signet Jewelers

Signet Jewelers Limited is the world's largest retailer of diamond jewelry. The company operates over 3,300 stores primarily under the name brands of Kay Jewelers, Zales, Jared The Galleria Of Jewelry, H.Samuel, Ernest Jones, Peoples and Piercing Pagoda. Signet Jewelers is headquartered in Akron, Ohio and has over 30,000 employees worldwide. The company was founded in 1949 and went public in 1972. Signet Jewelers is listed on the New York Stock Exchange under the ticker symbol SIG.
Learn more about Signet Jewelers
Size
30,856 employees
Market Cap
$3 billion
Industry
Net Income
-$82.4 million
Founded
1950
5 Year Trend
+4.1%
Revenue
$5.1 billion
NASDAQ

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