Lead Data Engineer, Thrive Market

• 10+ years of experience in Data Engineering or related roles within the retail industry
• Strong understanding of retail operations, including inventory management, logistics, revenue recognition, and customer behavior, to ensure data solutions align with financial goals and business needs
• Advanced understanding of SQL with experience in writing complex queries for data transformation and reporting
• Experience in using DBT to transform and model data in various Cloud Data Warehouses
• Solid programming skills in Python for data processing, automation, and integration tasks
• Expertise in Snowflake data warehouse architecture, including performance tuning and optimization
• In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts, and Data Lakes
• Strong proficiency with integration tools and platforms such as Apache Airflow, Fivetran, and message queuing systems
• Proficiency in logical/physical data architecture, design, and development
• Strong ability to work independently (hands-on) while also being an effective team player
• Excellent analytical and problem-solving skills, particularly when navigating loosely defined issues or conflicting information
• Strong data sense with the ability to effectively identify and query errors in mission-critical data systems
• Adept in the ability to elicit, gather, and manage requirements in an Agile delivery environment
• Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas

Desirable

• We are looking for a brilliant, dedicated, and hardworking engineer to help us build high-impact products alongside our Data Strategy Team. Thrive Market sees millions of unique visitors every month, and we are one of the fastest-growing e-commerce companies in the country.
• We are looking for a Senior Data Engineer with hands-on experience working on structured/semi-structured/Complex data processing and streaming frameworks.
• We need your amazing software engineering skills to help us execute our Data Engineering & Analytics initiatives and support our Finance and Accounting teams with revenue recognition, inventory management, etc.
• In this role, we are hoping to bring someone in who is equally excited about our mission, learning the tech behind the company, and can work cross-functionally with other engineering teams
• Collaborate with Finance and Accounting teams to understand business requirements and translate them into technical specifications
• Collaborate with technical teams to deliver data solutions that meet business and technical requirements
• Lead the ongoing development of a specialized Operational Data Store (ODS) that integrates with NetSuite to create a SOX-compliant automated order-to-cash process
• Be hands-on and take full ownership of the entire data services lifecycle, including requirements gathering, data profiling, data ingestion, ETL development, and validation of data products for reporting and analysis
• Architect data modeling and ETL processes to ensure data is transformed accurately and promptly, with clear audit logs recorded
• Develop a thorough knowledge and understanding of cross-system integration, interactions, and relationships to develop an enterprise view of Thrive Market’s future data needs
• Identify, troubleshoot, and resolve production data integrity and performance issues
• Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market
• Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, audibility, etc.) for Data Engineering
• Apply enterprise and solution architecture decisions to data architecture frameworks and data models