Staff Data Platform Engineer - Finance
Staff Data Platform Engineer leading the architecture and development of financial data infrastructure for revenue reporting, billing, forecasting, and compliance. Requires 8+ years of data engineering or architecture experience, strong streaming and warehouse expertise, and the ability to mentor engineers and partner with Finance and Audit leaders.
About the job
Responsibilities
- Design and implement batch and real-time data infrastructure for revenue recognition, consumption-based billing, financial reporting, forecasting, and usage pipelines.
- Partner with FP&A, Accounting, Revenue Operations, Security, Compliance, Legal, and Internal Audit to translate reporting, compliance, and close-cycle requirements into scalable architecture.
- Define standards for financial data ingestion, transformation, storage, modeling, ETL, governance, lineage, auditability, and integrity.
- Build and operate finance data solutions using Kafka, ClickHouse, Tinybird, Snowflake, and related technologies.
- Establish monitoring, alerting, incident response, high availability, and fault tolerance for financial data pipelines.
- Lead architectural decisions, roadmap planning, technology evaluations, and build-versus-buy decisions across ERP, billing, and revenue platforms.
- Support forecasting, incrementality analysis, and revenue modeling with Finance, FP&A, GTM, and data science teams.
- Mentor engineers and promote engineering excellence and financial-data rigor.
Requirements
- 8+ years of experience in data engineering, data architecture, or related roles.
- At least 2 years at the Staff, Principal, or Lead Engineer level.
- Experience designing and operating large-scale data infrastructure.
- Experience with Kafka and its ecosystem, ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
- Experience building pipelines for financial reporting, revenue recognition, billing, or consumption-based pricing.
- Proficiency with AWS, Google Cloud, or Azure and associated big data services.
- Strong background in data governance, security, compliance, data lineage, and accuracy.
- Experience supporting audits, SOX, or SOC 2 requirements.
- Strong communication, collaboration, mentoring, and technical leadership skills.
Nice to Have
- Master's degree in Computer Science, Engineering, or a related field.
- Familiarity with NetSuite, Workday, or billing platforms.
- Industry recognition or notable data engineering contributions, including publications or open-source work.
Compensation
- San Francisco base pay range: $260,000–$360,000 annually.
- Compensation may be adjusted based on employee location outside San Francisco.
- Total compensation may include benefits, equity compensation, and bonus or variable pay.
Skills
Kafka, Kafka Streams, Confluent Platform, ClickHouse, Tinybird, Snowflake, AWS, GCP, Azure, Data Governance, Data Lineage, Sox, SOC 2, NetSuite, Workday
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