Director, Data Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director, Data Engineering (AI): Leading the engineering half of the Data and Analytics organization to build end-to-end data pipelines from source to consumption by humans and LLMs with an accent on technical strategy, people management, and AI integration. Focus on scaling Databricks infrastructure, optimizing dbt project structures, and designing a self-serve data experience for the organization.
Location: Remote (Must be based in the US or Canada)
Salary: $216,000 – $318,000 USD / $251,000 – $295,000 CAD
Company
is a category-leading mobile app and device company focused on keeping families safe and connected through location sharing and crash detection.
What you will do
- Define and drive the technical roadmap for data platform, analytics engineering, and ads data infrastructure.
- Own the end-to-end analytics engineering strategy, including dbt project structure and data modeling standards.
- Oversee Databricks infrastructure, compute optimization, and the reliability/observability stack at consumer scale.
- Lead and develop three engineering managers and their teams, fostering a high-performance culture.
- Collaborate with Product, Engineering, Finance, and Marketing to translate business needs into engineering priorities.
- Implement an AI-native approach by leveraging AI tools for development and infrastructure optimization.
Requirements
- 8–10+ years of experience in data engineering or data platform roles, with 5+ years in people management.
- 3+ years of experience managing other managers at a technology company.
- Must be based in the US or Canada.
- Strong technical proficiency with dbt and lakehouse platforms like Databricks or Snowflake at consumer scale.
- Proven track record of stakeholder management at the Director/VP level.
- AI-native mindset with active usage of AI tools to improve productivity and infrastructure requirements.
Nice to have
- Experience in consumer mobile, subscription-based, or marketplace technology companies.
- Hands-on experience with Amplitude, Statsig, and real-time data streaming.
- Experience building or managing ads data infrastructure.
- Bachelor’s or Master’s degree in Computer Science or a related field.
Culture & Benefits
- Competitive pay and equity packages.
- Medical, dental, and vision insurance (100% paid for US employees).
- 401(k) matching for US employees and RRSP with DPSP for Canadian employees.
- Flexible PTO and 12 company-wide days off throughout the year.
- Equipment, tools, and reimbursement support for a remote environment.
- Learning & Development programs and free Platinum Membership.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →