Senior Data Engineer designing, developing, and optimizing data architecture at Emburse. Leading data flows supporting revenue recognition and reporting across Salesforce and BillingPlatform.
Responsibilities
Lead the design and implementation of data pipelines and models supporting metering, usage, and revenue reporting across key systems (Salesforce, BillingPlatform, NetSuite).
Manage and optimize Snowflake as the enterprise data warehouse, ensuring scalability, security, and performance.
Build and maintain ETL/ELT processes to integrate data from operational systems into the Data Lake and reporting environments.
Design and deploy Power BI dashboards and data sets to support Finance, RevOps, and Customer Success reporting needs.
Partner with Business Systems and Finance teams to ensure data accuracy and completeness for usage, billing, and ARR reporting.
Diagnose and remediate data issues quickly — developing sustainable solutions that eliminate recurring quality problems.
Define data models, naming conventions, and governance standards for consistent and trusted reporting.
Collaborate with the Business Systems team to enhance source system data structures and integration design.
Support automation, monitoring, and version control of data pipelines using modern tools (dbt, Airflow, etc., if applicable).
Provide mentorship and technical guidance to junior engineers or analysts within the Data & Analytics team.
Requirements
7+ years of experience in data engineering, analytics, or data architecture, preferably within a SaaS or subscription-based business.
Strong proficiency in Snowflake, SQL, and data modeling (dimensional and relational).
Experience building Power BI datasets and dashboards; DAX and Power Query proficiency required.
Hands-on experience with ETL/ELT tools (Fivetran, dbt, Informatica, or similar).
Familiarity with usage metering, billing, and ARR data models highly preferred.
Proven ability to identify data quality issues, design scalable fixes, and drive solutions independently.
Strong understanding of data governance, lineage, and security.
Bachelor’s degree in Computer Science, Information Systems, or related field preferred.
Benefits
A Company with Momentum – We serve 12M+ users across 120 countries, helping businesses modernize their finance operations.
A Team That Innovates – Work alongside some of the brightest minds in finance, tech, and AI to solve real-world challenges.
A Culture That Empowers – Competitive pay, flexible work, and an inclusive, collaborative environment that supports your success.
A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision-making for businesses everywhere.
Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.