Lead Data Engineer

Summary

Join Ruggable, a leading direct-to-consumer e-commerce brand, as a Lead Data Engineer. You will spearhead the development and modernization of our data ecosystem, building a cutting-edge, scalable data infrastructure. This role involves architecting and implementing complex data pipelines, optimizing platform performance, and ensuring data governance. You will lead and mentor a team of engineers, collaborating with cross-functional teams to align data strategy with business priorities. If you are a strategic thinker with a passion for solving complex challenges and shaping the future of data, this is the opportunity for you.

Requirements

• Mastery of SQL and object-oriented programming (preferably Python), with a track record of designing and maintaining efficient, scalable codebases
• Extensive experience architecting, developing, and orchestrating complex ELT pipelines and workflows to meet organizational SLAs for analytics and reporting
• Advanced expertise in cloud-based EDW technologies (e.g., Snowflake, Redshift) and AWS services (e.g., S3, Glue, Lambda), with the ability to architect and implement scalable, cost-efficient, and secure data solutions
• Proven ability to independently scope, own, and deliver large-scale, cross-functional data engineering projects with minimal oversight, aligning technical execution with strategic business priorities
• Demonstrated leadership in defining technical direction, conducting high-impact technical reviews, and influencing team-wide architectural decisions
• Expertise in creating and optimizing data models for usability and performance while enforcing governance best practices, including security, privacy, and compliance
• Proven success mentoring and developing junior engineers while fostering a collaborative, high-performing team environment
• Strong communication skills, with the ability to distill technical concepts for diverse audiences and build alignment across technical and non-technical stakeholders
• Exceptional problem-solving abilities, balancing ideal solutions with practical constraints while maintaining high standards on critical aspects of implementation

Responsibilities

• Architect scalable, secure, and cost-effective data infrastructure using cloud-based EDW technologies (e.g., Snowflake, Redshift) and AWS services (e.g., S3, Glue, Lambda)
• Design, build, and optimize ELT pipelines and workflows to meet analytics and reporting needs
• Lead technical design and code reviews, setting standards for data engineering excellence and scalability
• Mentor junior engineers and foster a collaborative, high-performing team environment
• Collaborate with cross-functional teams to align data infrastructure with strategic business goals and drive innovation
• Ensure data governance, security, and compliance with regulatory standards (e.g., GDPR, CCPA) while leading platform enhancements

Benefits

• $180,000 - $190,000 per year base salary
• An annual bonus percentage that varies based on level of role
• Employer matching (up to 3% of base salary) for company sponsored 401K plan