Senior Manager, Data Engineering

RingCentral•Belmont, CA

10d•$190,100 - $231,800•Onsite

About The Position

RingCentral is seeking a Senior Manager of Data Engineering to lead a team of data engineers responsible for building and scaling the data infrastructure for the company's revenue platform. This role involves designing, developing, and delivering a revenue data mart that serves as a reliable source of truth for finance, sales, and executive reporting. It is a hands-on leadership position requiring technical direction, mentorship of engineers, and close collaboration with Finance, Revenue Operations, Analytics, and Product stakeholders to ensure the data mart meets business needs for accuracy, timeliness, and scalability.

Requirements

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.

Nice To Haves

Experience with revenue recognition, billing systems, or subscription/SaaS revenue data.
Familiarity with data governance, lineage, and cataloging tools.
Experience with CI/CD for data pipelines (e.g., dbt, Jenkins, GitHub Actions).
Background in a high-growth SaaS or telecom environment.
Experience migrating on-prem systems (Hadoop/Oracle) to cloud-native platforms (Snowflake/AWS).
Direct experience building integrations from Marketo, Salesforce, Anaplan, or NetSuite into a data warehouse.
Experience incorporating ML/AI capabilities into data platforms, such as automated data quality checks or forecasting models.

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.

Benefits

Comprehensive medical, dental, vision, disability, life insurance
Health Savings Account (HSA), Flexible Spending Account (FSAs) and Commuter benefits
401K match and ESPP
Paid time off and paid sick leave
Paid parental and pregnancy leave
Family-forming benefits (IVF, Preservation, Adoption etc.)
Emergency backup care (Child/Adult/Pets)
Employee Assistance Program (EAP) with counseling sessions available 24/7
Free legal services that provide legal advice, document creation and estate planning
Employee bonus referral program
Debt refinancing assistance
Employee perks and discounts program