Director Analytics Engineering / SQL / Databricks / dbt / Remote - Full Time
Los Angeles, California
100% Remote
Full Time
$180k - $220k
Job Summary
We are an education-focused organization dedicated to expanding access to affordable, high-quality, and workforce-relevant online learning opportunities for working and adult students. Since our founding in 2007, our mission has been to support regional universities in increasing their reach and impact through data-driven performance and integrated services. With a culture rooted in collaboration, innovation, and student success, we are building resilient data foundations to empower informed decision-making and sustainable growth.
The Role
We’re seeking a Director of Analytics Engineering to lead the transformation of how we model, serve, and scale trusted data across the organization. Reporting to the VP of Marketing Analytics, this role will drive the vision for modern data stack adoption, semantic layer standardization, and production-grade data products. You will oversee a high-performing team, champion best practices in data governance, and collaborate across departments to ensure data becomes a strategic asset powering decisions at every level of the business. This is a role for a builder and change agent—someone who thrives in challenging legacy approaches and shaping the future of analytics in a growing mission-driven organization.
What You’ll Do
Daily Responsibilities:
Applicants must be legally authorized to work in the U.S. on a full-time basis now and in the future.
We are an education-focused organization dedicated to expanding access to affordable, high-quality, and workforce-relevant online learning opportunities for working and adult students. Since our founding in 2007, our mission has been to support regional universities in increasing their reach and impact through data-driven performance and integrated services. With a culture rooted in collaboration, innovation, and student success, we are building resilient data foundations to empower informed decision-making and sustainable growth.
The Role
We’re seeking a Director of Analytics Engineering to lead the transformation of how we model, serve, and scale trusted data across the organization. Reporting to the VP of Marketing Analytics, this role will drive the vision for modern data stack adoption, semantic layer standardization, and production-grade data products. You will oversee a high-performing team, champion best practices in data governance, and collaborate across departments to ensure data becomes a strategic asset powering decisions at every level of the business. This is a role for a builder and change agent—someone who thrives in challenging legacy approaches and shaping the future of analytics in a growing mission-driven organization.
What You’ll Do
Daily Responsibilities:
- Define and lead the vision, strategy, and roadmap for analytics engineering, ensuring alignment with business goals and measurable outcomes.
- Build, mentor, and lead a collaborative team of data/analytics engineers, enhancing training and onboarding through guides, documentation, and semantic layer education.
- Partner with Data Science, Marketing Strategy, and Analytics Product teams to create usable, version-controlled, and documented data assets.
- Translate complex data product needs into enterprise-grade data models, analytical datasets, and actionable insights for senior and executive stakeholders.
- Establish and govern a centralized source of truth for key business metrics such as CPL, LTV, Conversion Rates, and New Enrollments.
- Implement and manage automated data quality checks, lineage tracking, schema validations, and change alerts to ensure reliability.
- Promote data discoverability and knowledge-sharing through living documentation, dbt Docs, wikis, data dictionaries, and lineage diagrams.
- 8+ years in analytics or data engineering, with at least 2 years leading end-to-end data product development.
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.
- Expertise in SQL and ELT best practices using tools like dbt Cloud, Databricks, and Python.
- Experience designing semantic/metric layers for BI tools such as Power BI.
- Deep understanding of data modeling (Kimball, star schema, wide tables).
- Familiarity with observability and data quality frameworks (e.g., dbt tests, Metaplane, Monte Carlo).
- Strong communication and leadership skills with the ability to influence both technical and business stakeholders.
- Proven track record of scaling from legacy data environments to modern enterprise-grade platforms.
- Experience leading analytics/data transformations in highly cross-functional or regulated industries.
- Passion for building data culture, literacy, and self-service analytics across organizations.
- 50% Data Engineering & Strategy (SQL, dbt, Databricks, Python, data modeling, ELT pipelines, data quality frameworks)
- 30% Leadership & Cross-Functional Collaboration (team management, training, stakeholder engagement, roadmap development)
- 15% Governance & Standards (metric layer design, semantic modeling, documentation, lineage, automated monitoring)
- Comprehensive Medical, Dental, and Vision coverage
- Equity
Applicants must be legally authorized to work in the U.S. on a full-time basis now and in the future.