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Job Description
The role involves leading the design and development of Samsara's developer ecosystem, focusing on data integration, API frameworks, and scalable data streaming systems to support the company's AI and data strategies, ultimately enabling enterprise customers to build integrated and intelligent solutions.
Key Responsibilities
- Architect and guide high-impact, cross-functional initiatives for external integrations, including core developer products API, Eventing, Lambdas, and Marketplace.
- Develop and evolve the data integration strategy, including the data pipeline using Kafka and other streaming technologies.
- Design and implement serverless compute architectures, particularly AWS Lambda, to enable complex logic execution.
- Establish and oversee the technical vision and architectural governance for external API frameworks to ensure scalability and developer experience.
- Mentor senior engineers, lead design reviews, and align stakeholders on technical direction.
- Partner with leadership and customers to define and execute long-term technical strategies for the developer and data platform.
- Lead the deployment and governance of large-scale, public-facing APIs, with a focus on scalability and best practices.
- Drive the integration of event streams with data lakes and warehouses within a LakeHouse architecture.
- Lead multi-team technical initiatives from inception to delivery, ensuring successful implementation.
Requirements
- Deep, systems-level expertise in designing, building, and operating high-throughput, large-scale data streaming systems e.g., Kafka.
- Proven experience in architecting and implementing AI-first data strategies, with a strong understanding of how event streams Kafka integrate with data lakes and data warehouses in a modern LakeHouse architecture.
- Demonstrable experience with serverless compute architectures e.g., AWS Lambda and their associated design patterns and trade-offs.
- Extensive experience in designing, building, and providing governance for large-scale, public-facing APIs, with a preference for GraphQL.
- A track record of leading complex, multi-team, and multi-quarter technical initiatives from inception to delivery.
- Experience with managed event streaming platforms e.g., Amazon MSK, Azure Event Hubs, Google Cloud Pub Sub.
- Deep familiarity with cloud data warehousing and data lake solutions e.g., Snowflake, Databricks.
- Experience with ML AI model deployment and MLOps infrastructure.
- The role requires a minimum of experience in designing, building, and operating high-throughput, large-scale data streaming systems, and architecting AI-first data strategies.
- The candidate must be able to partner with senior leadership, product, engineering, and enterprise customers to define and execute a multi-year technical vision for the developer and data platform.
Benefits & Perks
Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Inclusive work environment with accommodations for persons with disabilities
Flexible working model supporting remote, hybrid, or in-person work
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