Senior Data Platform Engineer
AI Summary
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform Engineer based in the United States.
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform Engineer based in the United States.
This role sits at the core of a cutting-edge AI-driven industrial automation platform, where data is transformed into real-time intelligence that powers autonomous decision-making systems. You will design and scale the foundational infrastructure that ingests, processes, and serves massive volumes of streaming and batch data. Working in a highly collaborative, research-driven engineering environment, you will help build multi-tenant, production-grade distributed systems that enable reinforcement learning models to operate in real-world industrial settings. Your work will directly influence the performance and efficiency of complex physical systems such as factories, buildings, and energy infrastructure. This is a high-impact role for engineers who enjoy solving deep systems challenges at scale while shaping the future of AI-powered operations.
Accountabilities:
- Design and build scalable, high-throughput data ingestion, streaming, and batch processing systems supporting real-time and historical analytics
- Architect and develop distributed data platforms, including storage, feature stores, and event-driven processing systems for multi-tenant environments
- Build and optimize APIs and backend services that serve critical data and platform capabilities across the organization
- Design and maintain robust data models, storage systems, and retrieval mechanisms optimized for performance, security, and scalability
- Own production systems end-to-end, including deployments, monitoring, incident response, and on-call operations to ensure high availability
- Lead cross-functional technical initiatives in collaboration with engineers, product managers, and technical program managers
- Mentor engineers and contribute to elevating system design, operational excellence, and engineering standards across the team
- 7+ years of software engineering experience, with strong exposure to distributed systems or large-scale data platforms
- Proven expertise designing and operating data-intensive systems for ingestion, processing, storage, and serving at scale
- Strong experience building and maintaining multi-tenant, highly available, and fault-tolerant production systems
- Hands-on experience with streaming and batch data processing technologies (e.g., Apache Flink or similar frameworks)
- Solid background in API design, event-driven architectures, and backend service development
- Experience operating production systems, including observability, incident management, and performance optimization
- Familiarity with modern cloud environments such as Google Cloud Platform and tools like Kubernetes and Docker
- Strong communication skills, with the ability to collaborate effectively in fully remote, distributed teams
- Demonstrated ownership mindset, with curiosity, customer empathy, and a focus on operational excellence
- Preferred: experience with data lakes, lakehouses, or self-serve data platforms at scale
- Competitive base salary ranging from approximately $123,760 to $200,200, depending on location tier
- Equity participation as part of total compensation package
- Fully remote work environment with global distributed teams
- Comprehensive medical, dental, and vision insurance (region-dependent)
- Unlimited PTO with a minimum annual requirement
- Paid parental leave (region-dependent)
- Flexible stipends for home office setup, wellness, and professional development
- Strong focus on learning, training, and long-term career growth in advanced AI and distributed systems
- Opportunity to work on high-impact systems shaping industrial automation and AI-driven infrastructure.