Director, Data Engineering - Databricks

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

Requirements:

• 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

Benefits:

• 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.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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