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Helzberg Diamonds Logo Helzberg Diamonds · IT - Software Development

Data Engineering Team Lead

United States, North Kansas City · Job Posted June 29, 2026
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Job Description

The Data Engineering Team Lead will play a critical role in advancing Helzberg Diamonds’ data strategy by leading the design, development, and operation of scalable, reliable data platforms and pipelines. This role blends hands-on technical leadership with people management, serving as both a technical authority and a coach for a growing data engineering team. The ideal candidate is passionate about building high-quality data products, enabling analytics and AI use cases, and partnering closely with business and technology stakeholders across eCommerce, Marketing, Merchandising, Finance, and Operations.

Job Responsibility

  • Lead the design and implementation of modern data engineering solutions, including data ingestion, transformation, and orchestration pipelines
  • Own and evolve core data platforms such as the enterprise data warehouse/lakehouse, ensuring scalability, reliability, and performance
  • Establish and enforce engineering best practices for data modeling, code quality, testing, monitoring, and documentation
  • Partner with architecture, security, and infrastructure teams to ensure solutions meet enterprise standards for availability, security, and compliance
  • Lead, mentor, and grow a team of data engineers, fostering a culture of accountability, learning, and continuous improvement
  • Provide technical guidance, code reviews, and career development support for team members
  • Assist with hiring, onboarding, and performance management of data engineering talent
  • Collaborate closely with Analytics, Data Science, Product, and Business teams to translate business requirements into scalable data solutions
  • Prioritize work in partnership with stakeholders, balancing near-term delivery with long-term platform health
  • Support data governance, data quality, and master data initiatives to ensure trusted, business-ready data
  • Ensure reliable operation of data pipelines through monitoring, alerting, and incident response
  • Drive improvements in data observability, cost optimization, and platform efficiency
  • Contribute to roadmap planning and data strategy discussions at the program and portfolio level

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
  • 7+ years of experience in data engineering, software engineering, or related roles
  • 2+ years of experience in a technical leadership or team lead role
  • Strong experience with SQL and data modeling for analytics and reporting
  • Hands-on experience building and operating data pipelines using modern tools and frameworks (e.g., cloud-native services, ELT/ETL platforms, orchestration tools)
  • Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)

Nice to have

  • Experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, or equivalent)
  • Experience supporting retail, eCommerce, or omnichannel data use cases
  • Familiarity with CI/CD, Infrastructure as Code, and DevOps practices in a data engineering context
  • Experience working with streaming or near–real-time data
  • Strong communication skills with the ability to influence both technical and non-technical stakeholders
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