Power the voice of your business with RingCentral Agentic Voice AI, including AI Receptionist (AIR), AI Virtual Assistant (AVA), & AI Conversation Expert (ACE). Backed by Sequoia.
About the role
Define and own a cloud-native, enterprise-scale data architecture that supports batch, streaming, analytics, and AI/ML workloads. Develop and execute a multi-year data platform modernization roadmap, balancing delivery speed, risk, cost efficiency, and business continuity.
What they're looking for
- 10+ years of experience in data architecture, data engineering, or platform engineering roles
- Deep hands-on expertise with SQL, Spark, and Python, and strong understanding of distributed data processing
- Strong experience designing and operating data platforms on AWS, Azure, or GCP, including compute, storage, networking, and security
- Solid background in data governance, metadata management, lineage, and cataloging (e.g., Purview, Collibra, Alation)
- Experience with real-time and streaming architectures (Kafka, Kinesis, Pub/Sub) and orchestration tools (Airflow, dbt)
- Demonstrated ability to lead cross-functional teams and complex migration programs
More about this role
Say hello to opportunities.
If you’re looking to be part of what’s next in communication, you’re in the right place.
At RingCentral, we believe the best customer experiences happen when humans and AI work together. Our agentic voice AI portfolio—AIR, AVA, and ACE—brings together automation, assistance, and insights across the entire conversation lifecycle. The result? More seamless, intelligent experiences for businesses everywhere.
With $2.5B+ in ARR and $250M invested in R&D annually, we’re building the future of AI-powered business communications.
We are seeking a Sr. Manager/Lead Systems & Data Architect with deep hands-on technical expertise and strategic vision to design and lead the next generation of our enterprise intelligence data platform. This role will own the architecture, roadmap, and execution of a modern, cloud-native data ecosystem that supports analytics, real-time processing, and advanced AI/ML and LLM workloads at scale.
This is a highly visible, high-impact role that sits at the intersection of data engineering, cloud infrastructure, analytics, and AI. You will serve as the technical authority for data architecture decisions while mentoring teams and...
Browse similar: Startup jobs