Job Summary: 

Ruggable is transforming its data ecosystem—modernizing a legacy platform while building a cutting-edge, scalable system from the ground up to power our next phase of growth.

As a Lead Data Engineer, you’ll drive the technical direction and build high-impact, scalable data infrastructure that empowers data-driven decisions across the organization. You’ll lead the design and orchestration of complex data pipelines, optimize platform performance, and ensure governance and compliance with best practices.

Collaborating with technology leadership and cross-functional teams, you’ll align data strategy with business priorities while mentoring junior engineers and setting standards of excellence. If you’re a strategic thinker who thrives on solving complex challenges and shaping the future of data at Ruggable, we want to hear from you!

What You’ll Do:

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

What You’ll Need to Have:

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

Compensation:

$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