Senior Manager, Revenue Data Platform

RingCentral; Belmont (CA); On-site; USD 190,000 - 232,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision,

HSAs, FSAs, commuter benefits

401K match and ESPP

Paid time off and sick leave

Parental and pregnancy leave

Family‑forming benefits

Emergency backup care

EAP with counseling

Legal services

Referral program

Debt refinancing assistance

Employee perks and discounts

Job summary

RingCentral in Belmont, CA is seeking a Senior Manager of Data Engineering to lead a team building and scaling the revenue data mart powering finance, sales, and executive reporting. You will set technical direction, mentor engineers, and partner with Finance, Revenue Operations, Analytics and Product to ensure data accuracy, timeliness, and scalability.

The core stack includes Hadoop, Oracle, Snowflake, AWS S3 and PostgreSQL, with BI tools such as Tableau and Sigma.

Qualifications

• 10+ years of experience in data engineering, with 3+ years in a management or technical leadership role.
• Proven experience managing a team of data engineers across varying experience levels.
• Hands‑on expertise with Hadoop ecosystem tools (Hive, Spark, HDFS), Oracle, Snowflake, AWS S3, and PostgreSQL.
• Strong background building data marts or warehouses, ideally supporting finance or revenue use cases.
• Deep understanding of ETL/ELT design, dimensional data modeling, and orchestration tools (e.g., Airflow, Control-M).
• Solid grasp of SQL performance tuning and large‑scale data processing.
• Experience with cloud data architecture and cost/performance optimization on AWS.
• Excellent stakeholder management skills across Finance, Analytics, and Engineering.
• Experience with Agile/Scrum delivery.
• Working knowledge of business systems that feed or consume revenue data, such as Marketo, Salesforce, Anaplan, and NetSuite.
• Familiarity with BI tools such as Tableau and Sigma, and how data mart design impacts downstream reporting.
• General knowledge of ML/AI concepts (e.g., predictive models, anomaly detection) and how they apply to data pipelines and analytics; hands‑on ML development is not required.

Responsibilities

• Lead, mentor, and grow a team of data engineers spanning junior to senior levels, including hiring and performance management.
• Own the technical strategy and roadmap for the revenue data mart, supporting revenue recognition, billing, forecasting, and executive reporting.
• Architect and oversee data pipelines integrating and transforming data across Hadoop, Oracle, Snowflake, AWS S3, and PostgreSQL.
• Ensure reliable data integration with business systems such as Marketo, Salesforce, Anaplan, and NetSuite, maintaining consistency across the revenue lifecycle.
• Partner with BI teams to structure the data mart for reporting and dashboarding in tools such as Tableau and Sigma.
• Identify opportunities to apply ML/AI techniques (e.g., anomaly detection, forecasting) to improve pipeline reliability and revenue insights.
• Drive engineering best practices: data modeling, ETL/ELT design, orchestration, testing, CI/CD, and data quality/observability.
• Partner with Finance, Revenue Operations, and Analytics to translate business requirements into scalable data solutions.
• Manage sprint planning, prioritization, and delivery using Agile/Scrum practices.
• Establish and enforce data governance, security, and compliance standards (e.g., SOX considerations).
• Optimize pipeline performance and cost across on‑prem (Hadoop, Oracle) and cloud (Snowflake, AWS) environments.
• Own incident management and root‑cause resolution for pipeline issues impacting revenue reporting.
• Evaluate and introduce new tools and architectural patterns to modernize the data platform.
• Communicate progress, risks, and technical tradeoffs to senior leadership and non‑technical stakeholders.

Skills

Data engineering

Leadership

Hadoop ecosystem

Oracle

Snowflake

AWS S3

PostgreSQL

ETL/ELT design

Data modeling

Airflow/Orchestration

SQL performance

Cloud data architecture

Agile/Scrum

Marketo/Salesforce/NetSuite

Tableau/Sigma

ML/AI concepts

Education

Bachelor's degree or higher in a related field

Tools

Tableau

Sigma

dbt

Jenkins

GitHub Actions

Job description

RingCentral in Belmont, CA is seeking a Senior Manager of Data Engineering to lead a team building and scaling the revenue data mart powering finance, sales, and executive reporting. You will set technical direction, mentor engineers, and partner with Finance, Revenue Operations, Analytics and Product to ensure data accuracy, timeliness, and scalability.

The core stack includes Hadoop, Oracle, Snowflake, AWS S3 and PostgreSQL, with BI tools such as Tableau and Sigma.