10 Ringcentral Data Scientist Jobs Hiring Near You

Job Summary:
RingCentral is a leading provider of business cloud communications and contact center solutions. They are seeking a Lead Systems & Data Architect to design and lead the next generation of their enterprise data platform, focusing on modernizing their data ecosystem to support analytics, machine learning, and AI capabilities.
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 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 product–oriented 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.
Qualifications:
Required:
• 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 and 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.
Preferred:
• 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.
Company:
RingCentral provides cloud business communications and contact center software for calling, messaging, video, and meetings. Founded in 2003, the company is headquartered in Belmont, USA, with a team of 5001-10000 employees. The company is currently Late Stage.