Job Description
Team: IT
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Engineering - Databricks in United States.
This is a senior technical leadership role responsible for driving the design, delivery, and evolution of a modern data platform built on Databricks. You will act as a hands-on engineering leader, bridging architecture and execution to ensure scalable, reliable, and high-performance data systems. The role plays a key part in enabling analytics, reporting, and AI-driven capabilities that support data-informed decision-making across education-focused products and services. You will work closely with cross-functional stakeholders to translate strategic priorities into robust technical solutions. Beyond delivery, you will shape engineering standards, data practices, and architectural frameworks that ensure long-term scalability. This position combines deep technical expertise with team leadership in a mission-driven, impact-oriented environment focused on expanding access to education.
Accountabilities:
- Lead the end-to-end design, development, and delivery of scalable data platforms and products built on Databricks
- Translate business and platform priorities into actionable technical roadmaps, architecture designs, and execution plans
- Oversee the development of reliable, efficient, and cost-optimized data pipelines and lakehouse solutions
- Define and enforce enterprise data architecture standards, including modeling, semantic layers, and reusable frameworks
- Provide hands-on technical leadership by reviewing designs, solving complex engineering challenges, and guiding best practices
- Lead, mentor, and develop a team of data engineers, fostering accountability, innovation, and continuous improvement
- Partner with product, analytics, and business stakeholders to deliver data solutions that enhance insights and decision-making
- Drive adoption of modern engineering practices including CI/CD, infrastructure as code, and AI-enabled development workflows
- 8–12 years of experience in data engineering, data architecture, or software engineering roles
- Strong hands-on expertise with Databricks, Apache Spark, and modern lakehouse architectures
- Proven experience building and scaling cloud-based data pipelines in AWS and/or Azure environments
- 3–5 years of leadership experience managing data engineering teams and delivering complex, cross-functional initiatives
- Strong understanding of data modeling concepts including dimensional modeling and semantic layers
- Experience implementing modern engineering practices such as CI/CD, infrastructure as code, and AI/ML data enablement
- Ability to translate strategic goals into execution plans while managing multiple priorities and stakeholders
- Strong communication skills with the ability to collaborate across technical and business teams
- Experience working in analytics, reporting, or AI-driven environments is highly preferred
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Competitive salary aligned with experience and market benchmarks
- Comprehensive health, dental, and vision insurance coverage
- Flexible work arrangements supporting remote collaboration
- Paid time off and holiday programs
- Retirement savings plans and financial wellness support
- Opportunities for professional development, training, and upskilling
- Inclusive and mission-driven work environment focused on educational impact
- Exposure to modern data and AI technologies in a high-growth environment.
Requirements:
Benefits:
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Date Posted
04/21/2026
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