Key skills
Data EngineeringSQLPythonData ModelingSnowflakeFivetrandbtCensusSigmaAI Coding ToolsData Pipeline ManagementData OrchestrationData ObservabilityData Quality ManagementEcommerce Data StructuresShopifyKlaviyoGoogle AnalyticsManufacturing DataWarehouse Management DataOdoo ERPAWSCloud ServicesData GovernanceMaster Data ManagementAIClaudeAnalyticsGitHubERPLeadershipCommunication
About this role
GLDN.com is a direct-to-consumer jewelry brand that blends craft and technology to create personalized pieces. They are seeking a Data Engineer to build and evolve their data foundation, ensuring high-quality data is accessible and reliable for business insights.
Responsibilities:
- Design, build, and maintain data models in Snowflake serving analytics, reporting, and operational use cases for both human and AI consumers
- Manage and optimize data pipelines to move data reliably between operational and analytics applications
- Own data orchestration, observability, and quality management — ensuring robust monitoring and alerting are in place
- Partner with data and systems teams to improve automation, data integrity, and pipeline reliability
- Collaborate with business and analytics teams to understand their needs and translate them into scalable data solutions
- Occasionally assist with data analysis to guide key business decisions
- Build trust and transparency around data across all teams through clear communication and documentation
- Enable and support AI connectivity and reliable, trusted use of our data models
- Leverage AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar) to increase productivity and product quality in production
- Stay ahead of emerging patterns in AI-augmented analytics and bring forward recommendations for how GLDN can benefit
- Serve as principal technical owner of the data stack: Snowflake, Fivetran, dbt, Census, and Sigma
- Provide technical leadership and mentorship to analysts, analytics engineers, and engineering contractors
- Set and enforce standards for data governance, master data management, and documentation
- Drive continuous improvement of the data platform to support GLDN’s growth
Requirements:
- 5+ years of experience in data engineering, or a related role
- Strong proficiency in SQL, Python, and modern data modeling practices
- Hands-on experience with our core stack: Snowflake, Fivetran, dbt, Census, and Sigma
- Demonstrated use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar) in a production environment
- Demonstrated ability to collaborate directly with business users and communicate clearly with both technical and non-technical audiences
- Experience with ecommerce data structures and integrations (Shopify, Klaviyo, Google Analytics, etc.)
- Experience with manufacturing and warehouse management data; Odoo ERP experience a plus
- Familiarity with data orchestration and observability tools
- Experience with AWS or equivalent cloud services
- Experience with data governance and master data management tools