The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.
About the Company:
FastSpring is the world’s leading ecommerce platform for SaaS/Software, gaming, and digital product companies. Our product hosts over 10 million transactions per year, powering sales growth for more than 3,500 companies in over 200 countries, using every major currency. We pride ourselves on being an innovative company with an entrepreneurial culture, growth mindset, global influence, and profitable operations.
We are committed to building an inclusive work environment, and we invest in our employees by helping team members grow and develop professionally. We are developers, technologists, and business professionals who are globally-minded, customer-focused, and driven by constant innovation.
Founded in 2005, FastSpring is a privately owned company headquartered in Santa Barbara with offices in Amsterdam, Austin, Belfast and Halifax.
The Position:
FastSpring is looking for a Staff Data Engineer to serve as the technical architect and driving force behind our next-generation data platform. As a key partner to the Senior Data Product Manager, you will build the high-performance infrastructure required to turn hundreds of millions of rows of transactional data into actionable insights for our sellers.
This role is a high-impact technical leadership position responsible for designing and executing a modern data warehouse strategy that supports real-time product innovation. You will bridge the gap between complex transactional systems and the analytical needs of our global customers.
This role reports to the Senior Director, Development, and works cross-functionally with Product, Engineering, and Executive leadership to identify growth opportunities and execute technical go-to-market strategies.
Responsibilities:- Architect and Implement: Lead the design and construction of a next-generation data warehouse optimized for improved efficiency, performance, and massive scale.
- Real-Time Data Ingestion: Build and maintain robust data pipelines for real-time ingestion from large-scale production transactional databases containing hundreds of millions of rows.
- Stream Processing: Develop real-time data transformation layers to ensure the data warehouse reflects live business activity, enabling "up-to-the-minute" analytics for our ecosystem.
- Technical Roadmap: Partner with the Senior Data Product Manager to define, evangelize, and execute a data roadmap that meets both internal and external customer needs.
- Technical Leadership: Research and select appropriate technical solutions, coordinate delivery with dedicated agile teams, and champion engineering best practices.
- Validation & Metrics: Rigorously test and validate data integrity, establishing and measuring success metrics for system performance and data reliability.
- Collaboration: Work closely with stakeholders to develop technical business cases for new initiatives, ensuring alignment across the development organization.
- Experience: 5+ years of data engineering experience in a high-growth SaaS environment.
- Real-Time Messaging: Expert-level experience with message brokers and streaming platforms such as Apache Kafka, Amazon Kinesis, or Google Pub/Sub to manage high-throughput transactional data.
- Data Transformation: Proficiency with real-time and batch transformation tools, specifically dbt (data build tool) for managing Snowflake logic and Apache Flink or Spark Streaming for in-flight processing.
- Snowflake Ecosystem: Deep architectural knowledge of Snowflake, including experience with Snowpipe for continuous ingestion, streams, and tasks for change data capture (CDC).
- Database Internals: Strong understanding of schemas and data pipelines, with specific experience extracting data from large-scale relational databases (Postgres/MySQL) via CDC tools like Debezium.
- Technical Proficiency: Mastery of SQL and Python for building automated, scalable data movement and transformation workflows.
- Data APIs: Proven experience designing and maintaining Data APIs to expose warehouse insights to external or internal customers.
- Business Intelligence: Familiarity with business intelligence tools such as Looker.
- Communication: Exceptional ability to synthesize complex technical concepts and communicate them clearly to stakeholders, including the Senior Data Product Manager and executive leadership.
Payments Domain: (Preferred) Experience with the data structures associated with payment processors, gateways, and card networks.
Consistent with FastSpring's values and applicable law, we provide the following information to promote pay transparency and equity. The base pay range below represents a good faith estimate of the low and high end base pay range for the listed position. This role may be eligible for the corporate bonus plan (or, if a sales role, a commission plan as defined in the sales incentive plan document). In addition, FastSpring provides a variety of benefits to employees.
Estimated Base Pay Range
$190,000—$212,000 USD
About the Company:
FastSpring is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION employer. Candidates are considered for employment with FastSpring without regard to their race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, veteran status (specifically status as a disabled veteran, special disabled veteran, Vietnam Era veteran, recently separated veteran, armed forces service medal veteran, or other protected veteran) or other classification protected by applicable federal, state or local law.
Top Skills
Amazon Kinesis
Apache Flink
Apache Kafka
Dbt
Debezium
Google Pub/Sub
Looker
Python
Snowflake
Snowpipe
Spark Streaming
SQL
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