Senior Cloud Data Platform Architect & Engineering Leader

RingCentral, Inc; Belmont (CA); On-site; USD 185,000 - 225,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

401K match

ESPP

Paid time off

Parental leave

Family benefits

Employee assistance program

Job summary

RingCentral, Inc. seeks a Sr. Manager/Lead Systems & Data Architect to design and lead a cloud-native, enterprise-scale data platform supporting analytics, real-time processing, and AI/ML workloads at scale in Belmont, CA.

You will own architecture, roadmap, and execution while mentoring teams and guiding senior stakeholders. You will partner with data engineering, analytics, and security to set standards, govern data, and optimize Snowflake/Databricks environments, balancing performance and

Qualifications

• 10+ years of experience in data architecture, data engineering, or platform engineering.
• 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.
• Exceptional communication skills and executive-level presence.

Responsibilities

• 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.
• Drive architectural decisions across Snowflake, Databricks, and cloud-native services, ensuring scalability, security, and performance.
• Partner with data engineering, analytics, infrastructure, security, and data science to design scalable ingestion, transformation, and serving layers.
• Define standards for data ingestion, transformation, integration, and data modeling across diverse sources.
• Establish governance, quality, lineage, and access controls aligned with enterprise needs and compliance.
• Optimize performance and cost across Snowflake and Databricks, including workload isolation and storage strategy.
• Lead DevOps adoption (CI/CD, IaC) for data platforms (Terraform).
• Design data foundation for AI/ML and LLM workloads, including feature stores and vector storage.
• Stay ahead of AI/ML trends and translate into production-ready architectures.
• Influence towards lakehouse, data mesh, and data product concepts.

Skills

SQL

Spark

Python

Distributed systems

Data governance

Data modeling

Executive presence

Snowflake

Databricks

Airflow

dbt

Kubernetes

Terraform

Tools

Snowflake

Databricks

AWS

Azure

GCP

Terraform

Kafka

Kinesis

Pub/Sub

Airflow

dbt

Job description

RingCentral, Inc. seeks a Sr. Manager/Lead Systems & Data Architect to design and lead a cloud-native, enterprise-scale data platform supporting analytics, real-time processing, and AI/ML workloads at scale in Belmont, CA.

You will own architecture, roadmap, and execution while mentoring teams and guiding senior stakeholders. You will partner with data engineering, analytics, and security to set standards, govern data, and optimize Snowflake/Databricks environments, balancing performance and