Lead Systems & Data Architect
RingCentral, Belmont, CA, United States
Lead Systems & Data Architect
RingCentral, a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies, is embarking on a transformative initiative to modernize its enterprise data ecosystem. This modernization will serve as the foundation for its next-generation analytics, machine learning, and AI capabilities.
We are seeking a Lead Systems & Data Architect with deep hands-on technical expertise and strategic vision to design and lead the next generation of our enterprise 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 influencing senior stakeholders across the organization.
If you thrive in complex modernization initiatives, enjoy solving hard distributed systems problems, and want to shape a platform that will power data-driven and AI-enabled products for years to come, this role is for you.
What You'll Do
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 closely with data engineering, analytics, infrastructure, security, and data science teams to design scalable ingestion, transformation, and serving layers.
Define standards and best practices for data ingestion, transformation, integration, and data modeling across diverse structured and semi-structured sources.
Establish robust data governance, quality, lineage, and access control frameworks aligned with enterprise and regulatory needs.
Optimize performance and cost efficiency across Snowflake and Databricks environments, including workload isolation, query optimization, and storage strategies.
Lead the adoption of DevOps, CI/CD, and Infrastructure as Code practices (e.g., Terraform) for data platforms.
Define patterns for environment management, observability, disaster recovery, and security-by-design.
Ensure the platform meets enterprise standards for data privacy, compliance, and resilience.
Design the data foundation required for advanced analytics, ML, and LLM workloads, including feature stores, vector storage, and real-time data access.
Stay ahead of emerging trends in AI, ML, and data platforms, translating innovation into practical, production-ready architectures.
Influence the evolution toward lakehouse, data mesh, and data productoriented architectures where appropriate.
Provide technical leadership and mentorship to senior data engineers and architects.
Act as a trusted advisor to engineering leadership and business stakeholders.
Clearly communicate complex architectural concepts to both technical and non-technical audiences.
Required Qualifications
10+ years of experience in data architecture, data engineering, or platform engineering roles.
Proven success leading large-scale data platform migrations, including:
On-prem data warehouses (e.g., Oracle, Teradata) to Snowflake
Hadoop ecosystems (HDFS, Hive, Spark) to Databricks
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.
Nice to Have
Snowflake, Databricks, or cloud provider certifications (AWS, Azure, GCP).
Hands-on experience building ML and AI pipelines on Databricks or similar platforms.
Experience with multi-petabyte-scale data platforms.
Familiarity with data mesh, lakehouse, and domain-oriented data product concepts.
Exposure to LLM pipelines, vector databases, or retrieval-augmented generation (RAG) architectures.
RingCentral's Engineering team works on high-complexity projects that set the standard for performance and reliability at massive scale. This is your chance to help imagine, develop, and deliver products that raise the technological bar, and power human connections.
RingCentral's work culture is the backbone of our success. We are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and hold local BPTW awards in every major location. We are committed to hiring and retaining great people because we know you power our success.
RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone (MVP) global platform. RingCentral is headquartered in Belmont, California, and has offices around the world.
RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process.
If you are hired in Belmont, California, the compensation range for this position is between $176,750 and $252,500 for full-time employees, in addition to eligibility for variable pay, equity, and benefits. Benefits may include, but are not limited to, health and wellness, 401k, ESPP, vacation, parental leave, and more! The salary may vary depending on your location, skills, and experience.
RingCentral, a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies, is embarking on a transformative initiative to modernize its enterprise data ecosystem. This modernization will serve as the foundation for its next-generation analytics, machine learning, and AI capabilities.
We are seeking a Lead Systems & Data Architect with deep hands-on technical expertise and strategic vision to design and lead the next generation of our enterprise 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 influencing senior stakeholders across the organization.
If you thrive in complex modernization initiatives, enjoy solving hard distributed systems problems, and want to shape a platform that will power data-driven and AI-enabled products for years to come, this role is for you.
What You'll Do
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 closely with data engineering, analytics, infrastructure, security, and data science teams to design scalable ingestion, transformation, and serving layers.
Define standards and best practices for data ingestion, transformation, integration, and data modeling across diverse structured and semi-structured sources.
Establish robust data governance, quality, lineage, and access control frameworks aligned with enterprise and regulatory needs.
Optimize performance and cost efficiency across Snowflake and Databricks environments, including workload isolation, query optimization, and storage strategies.
Lead the adoption of DevOps, CI/CD, and Infrastructure as Code practices (e.g., Terraform) for data platforms.
Define patterns for environment management, observability, disaster recovery, and security-by-design.
Ensure the platform meets enterprise standards for data privacy, compliance, and resilience.
Design the data foundation required for advanced analytics, ML, and LLM workloads, including feature stores, vector storage, and real-time data access.
Stay ahead of emerging trends in AI, ML, and data platforms, translating innovation into practical, production-ready architectures.
Influence the evolution toward lakehouse, data mesh, and data productoriented architectures where appropriate.
Provide technical leadership and mentorship to senior data engineers and architects.
Act as a trusted advisor to engineering leadership and business stakeholders.
Clearly communicate complex architectural concepts to both technical and non-technical audiences.
Required Qualifications
10+ years of experience in data architecture, data engineering, or platform engineering roles.
Proven success leading large-scale data platform migrations, including:
On-prem data warehouses (e.g., Oracle, Teradata) to Snowflake
Hadoop ecosystems (HDFS, Hive, Spark) to Databricks
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.
Nice to Have
Snowflake, Databricks, or cloud provider certifications (AWS, Azure, GCP).
Hands-on experience building ML and AI pipelines on Databricks or similar platforms.
Experience with multi-petabyte-scale data platforms.
Familiarity with data mesh, lakehouse, and domain-oriented data product concepts.
Exposure to LLM pipelines, vector databases, or retrieval-augmented generation (RAG) architectures.
RingCentral's Engineering team works on high-complexity projects that set the standard for performance and reliability at massive scale. This is your chance to help imagine, develop, and deliver products that raise the technological bar, and power human connections.
RingCentral's work culture is the backbone of our success. We are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and hold local BPTW awards in every major location. We are committed to hiring and retaining great people because we know you power our success.
RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone (MVP) global platform. RingCentral is headquartered in Belmont, California, and has offices around the world.
RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process.
If you are hired in Belmont, California, the compensation range for this position is between $176,750 and $252,500 for full-time employees, in addition to eligibility for variable pay, equity, and benefits. Benefits may include, but are not limited to, health and wellness, 401k, ESPP, vacation, parental leave, and more! The salary may vary depending on your location, skills, and experience.