Data Engineering Director

Summary

Join Guild, a company committed to expanding opportunities, as a Director, Data Engineering. This pivotal leadership role involves overseeing the development and optimization of Guild's data infrastructure. You will be responsible for roadmapping a scalable data platform, establishing best practices, and partnering with various teams to meet data needs. The ideal candidate possesses extensive data engineering experience, proven leadership skills, and a strong understanding of cloud-native technologies. Guild offers a competitive salary, comprehensive benefits, and a commitment to diversity and inclusion. This role is open to candidates residing in one of 32 specified states. Apply now to help Guild unlock the talent and economic potential of America's workforce.

Requirements

• At least 10+ years of experience in data engineering, data warehousing, and/or business intelligence roles
• Experience scaling and managing 10+ person teams
• Highly focused on delivering results for internal and external stakeholders
• Strong familiarity with cloud native (AWS/GCP/Azure) distributed computing and data storage mechanisms with hands-on experience in managing data infrastructure
• Experience building alongside product and engineering teams utilizing cloud native technologies
• Track record of delivering scalable and innovative solutions, leveraging cutting-edge technologies for data warehousing and machine learning such as DBT and DataBricks
• Excellent leadership and communication skills with ability to influence and collaborate with stakeholders and peers
• Strong technical proficiency enabling you to dig in as both a player and a coach
• Experience managing and utilizing technologies such as Snowflake, DBT, DataBricks, etc to solve problems

Responsibilities

• Be responsible for roadmapping and implementing a vision for a scalable data platform
• Establish best practices that achieve operational excellence in data availability, quality, and privacy
• Partner with product and analytics teams to understand their data needs and translate their business requirements to scalable technical solutions
• Collaborate with the applied science, analytics, and product teams to deliver high-impact data assets
• Design and implement data pipelines and transformation workflows that are optimized for flexibility and data quality, leveraging best-in-class tools for transformation, observability, and testing
• Lead, mentor, and scale the data engineering team, cultivating a culture of innovation, learning, and excellence
• Stay on top of industry trends, emerging technologies, and best practices for data processing, storage, compute and ML development
• Develop and maintain robust governance frameworks, ensuring processes for monitoring, observability, and testing are in place to safeguard the integrity and availability of data

Benefits

• Access to low-cost, high-quality health care options through Cigna and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO)
• Access to a 401k to help save for the future
• Open vacation policy for employees to rest and recharge
• 8 days of fully-paid sick leave, to take the time to heal and or recover
• Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 4-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits
• Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
• Education benefits and tuition assistance to help your future development and growth