Job DescriptionPOSITION SUMMARY: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.
PRINCIPAL ACCOUNTABILITIES:Technical Leadership- 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.
Team Leadership & People Development- 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.
Delivery & Stakeholder Collaboration- 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.
Operational Excellence- 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.
SUPERVISORY RESPONSIBILITIES:This position supervises a team of 2-3 Data Warehouse Analysts and Engineers and will be responsible for the following:
- Accomplish department objectives by directing and monitoring the work progress of direct report.
- Provide coaching and guidance to direct report.
- Set expectations, annual goals and provide required quarterly touch base meetings with all direct report.
QUALIFICATIONS:Required Qualifications- 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).
Preferred Qualifications- 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.
Work Schedule:Hybrid schedule with predictable onsite attendance required three or more days per week to perform essential functions involving interactive behaviors with co-workers and managers, operation or manipulation of equipment and/or materials located only on site, and direct interaction with internal and/or external customers.
COMPETENCIES:Analytical Thinking, Customer Service Orientation, Integrity, Teamwork and Cooperation
