Engineering Manager, Data Engineering
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 187 - 281
Posted on:
22 days ago
Vacancies:
1 Vacancy
Job Summary
About Zapier
Were humans who simply think computers should do more work.
At Zapier were not just making softwarewere building a platform to help millions of businesses globally scale with automation and AI. Our mission is to make automation work for everyone by delivering products that delight our customers. Youll collaborate with brilliant people use the latest tools and leverage the flexibility of remote work. Your work will directly fuel our customers success and as they grow so will you.
AI at Zapier
We build and use automation every day to make work more efficient creative and human. So if youre using AI tools while applying here thats great! We just ask that you use them responsibly and transparently.
Check out our guidance on How to Collaborate with AI During Zapiers Hiring Process including how to use AI tools like ChatGPT Claude Gemini or others during our hiring process and when not to.
Hi there!
Are you excited about building systems that make data accessible reliable and impactful across a fast-growing product ecosystem Were looking for a Manager Data Engineering to lead a team that designs and scales the data services and frameworks powering product experiences and AI capabilities at Zapier.
As the Manager of Data Engineering youll guide a team of talented engineers in developing APIs backend systems and reusable engineering patterns that help the rest of Zapier build with data safely and efficiently. Youll shape how we serve data scale our infrastructure and collaborate across Product Machine Learning and Analytics to unlock new possibilities.
About You
You have 8 years of experience in data and/or software engineering including 3 years in a people management role. Youve built and scaled data or backend systems in cloud environments and guided teams through the evolution from pipelines to services.
You possess strong leadership and strategic planning skills. Youve successfully managed technical teams set clear goals and driven your team to meet them. You have a knack for aligning data capabilities with business objectives and can effectively communicate the value of these capabilities to both technical and non-technical stakeholders.
You have a strong software engineering background. You understand how to design and operate APIs distributed systems and data-serving layers that handle growth reliability and cost efficiency. You think in systems and build for reuse.
You are skilled in stakeholder management. You excel at building relationships across the organization working closely with Product Engineering and other teams to ensure alignment and drive collaborative success. Youre adept at translating complex technical concepts into clear actionable insights for a variety of audiences.
You are fluent in AI and its implications. You use AI to enhance your teams productivity and creativity but you also understand how it reshapes opportunity space influencing business priorities technical strategy and the way data products are built and consumed.
You prioritize quality observability and reliability. You help your team design systems that are tested monitored and observable ensuring data integrity and confidence in production.
You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.
You excel at leading and developing people. You create clarity and alignment provide coaching and feedback and help engineers grow in both technical and personal dimensions. You balance autonomy with accountability and celebrate impact over output.
Things Youll Do
Lead and develop the Data Engineering team: Manage coach and grow a distributed team of engineers focused on building scalable reusable data systems and APIs.
Shape our data services and platform strategy: Define the architectural vision for how data is ingested processed served and accessed across Zapier. Drive toward simplicity scalability and self-service.
Develop reusable engineering patterns: Champion the creation of frameworks and abstractions that enable engineers across Zapier to safely self-serve data capabilities without depending on the data team for every integration.
Build reliable and observable systems: Ensure data pipelines APIs and services meet high standards for quality performance and uptime. Establish operational metrics and incident practices for data-owned systems.
Champion governance CI/CD and operational excellence: Ensure data systems and practices uphold security privacy and compliance standards while driving automation reliability and continuous improvement across the data platform.
Collaborate across teams: Work with Product and AI/Machine Learning teams to align data solutions with their goals from powering personalization and AI experiences to making our backend systems more robust and resilient.
Encourage AI-assisted development and innovation: Drive adoption of AI tools and practices within the team improving productivity and experimentation while fostering critical thinking about responsible use.
Plan and deliver business impact: Partner with peers and leadership to prioritize initiatives define success metrics and deliver projects that advance Zapiers mission and data maturity.
Foster a culture of learning and excellence: Run demos retros and design reviews that reinforce curiosity quality and collaboration across the broader data organization.
Our stack is best summed up by: Databricks AWS Python/Typescript Kafka dbt and Airflow.
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Zapier relies on dozens of systems that emit data about Zapier and our potential and current users and partners. This data is useful for us to make a better product, better decisions, and understand our weaknesses and opportunities. The data team at Zapier pulls this data from DBs, AP ... View more
