Data Engineer responsible for building reliable ETL/ELT workflows using Azure and Python. Collaborating with teams to deliver clean, structured data and modernize cloud platforms.
About the role
- 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.
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