Senior Data Engineer (12-months Fixed-Term Contract – Renewable)

About this role

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.

Our Values

Dream big

• Be visionary, strategic, and open to innovation

Build great things

• Work in service of our users, always improving and pushing higher

Operate like an owner

• Take responsibility with bold decision-making and bias for action

Win like a sports team

• Be trusting and collaborative while empowering others

Learn and grow fast

• Never stop learning and iterate fast

Share our passion

• Share ideas and practice enthusiasm and joy

Be user obsessed

• Empathetic, inquisitive, practical

About the role

As a Senior Data Engineer on the Data Platform team, you'll help build the next generation of Goodnotes' data infrastructure - a modern, AI-native platform that enables a small team to operate at exceptional scale. Working alongside Analytics Engineers, Data Scientists, and Product Engineers, you'll design the pipelines, models, and systems that power analytics, experimentation, AI and product decisions across Goodnotes.

You'll help shape both the platform and how we build it, leveraging AI to improve engineering productivity, automate repetitive work and create a data platform that is scalable, reliable and easy for others to use.

• This is a hybrid role based in our Singapore office. This position will initially be a 1-year fixed-term contract.

This is the role for you if you're excited to work on:

• Data pipeline engineering: Build reliable, scalable data pipelines and data models that power analytics, experimentation, and AI-driven products.

• Cloud-native platform design: Design a modern data platform using technologies such as Snowflake, dbt, Iceberg, and ClickHouse on AWS.

• Real-time data systems: Design and build streaming pipelines and processing systems that power real-time analytics, event processing, and AI-driven products.

• Data quality and reliability: Improve data reliability through testing, monitoring, observability, lineage, and automation.

• Self-service analytics: Enable teams across Goodnotes to discover, understand and consume data independently.

• Leverage AI: Become a more effective engineer and continuously improve how the data platform is built, operated, and maintained.

• Cross-functional partnership: Partner with Product Engineers, Analytics Engineers, Data Scientists, and business stakeholders to create trusted, high-quality datasets.

The skills you will need to be successful:

• Significant experience as a Data Engineer building production-grade data platforms.

• Strong SQL skills and experience designing scalable data pipelines and data models.

• Experience designing and operating modern cloud-native data platforms on AWS.

• Experience building batch and streaming data platforms using technologies such as Kafka, Confluent, Apache Pulsar, or similar messaging systems.

• Strong understanding of data quality, testing, monitoring, observability, and operational excellence.

• Excellent collaboration and communication skills, with the ability to work across engineering, product, and data teams.

• A strong sense of ownership, curiosity, and a passion for building simple solutions to complex problems.

• Familiarity with dbt, Snowflake, ClickHouse, Apache Iceberg, or modern lakehouse architectures is a plus.

• Experience applying AI to improve engineering productivity and build more intelligent, scalable data platforms is a plus.

Preferred:

• Experience with dbt and modern analytics engineering practices.

• Experience with Snowflake or another modern cloud data warehouse.

• Experience with technologies such as ClickHouse, Apache Iceberg, or modern lakehouse architectures.

• Experience applying AI to improve engineering productivity and build more intelligent, efficient, and scalable data platforms.

The…