• Design, build, and maintain the pipelines that power all data use cases. This includes ingestion of raw data from production databases, object storage, and message queues, and vendors into our Data Lake, and building core datasets and metrics. • Develop intuitive, performant, and scalable data models (facts, dimensions, aggregations) that support product features, internal analytics, experimentation, and machine learning workloads. • Implement robust batch and streaming pipelines using Spark, Python, and Airflow. • Build pipelines adhering to standards for accuracy, completeness, lineage, and dependency management. Build monitoring and observability so teams can trust what they’re using. • Work with Product, Data Science, Infrastructure, Finance, Marketing, and Sales to turn ambiguous questions into well-scoped, high-impact data solutions. • Pay down technical debt, improve automation, and follow best practices in data modeling, testing, and reliability. Mentor peers earlier in their career within the team.

• Lead the end-to-end architecture and evolution of major platform components, making foundational design decisions that will shape the long-term direction of the observability platform. • Build scalable, reliable, and performant features that provide visibility into customer data pipelines. • Collaborate closely with product, design, and engineering teams to define and deliver high-impact initiatives. • Write high-quality, maintainable code while following best practices in testing, CI/CD, and operational excellence. • Set and champion engineering standards for code quality, testing, design, and operational excellence across the team. • Help improve and evolve the observability platform’s tooling, infrastructure, and processes. • Lead and coordinate responses to complex production incidents, guiding the team towards rapid resolution and long-term improvements. • Proactively identify technical opportunities, risks, and gaps - and drive initiatives to address them. • Mentor engineers of all levels through design reviews, pairing, and feedback, and contribute to the professional growth of the team.

• Leverage your expertise to solve challenging Flink management, data engineering and stream processing problems • Work both on proprietary and open-source products • Take end-to-end ownership of new features, improvements, and fixes: Problem breakdown, design, design review, implementation, testing, and documentation • Take ownership of project components, influencing their technical direction • Collaborate across diverse teams of developers • Mentor junior developers, fostering their growth

• Build and maintain backend services and APIs. • Develop and maintain frontend applications using TypeScript and Vue (or similar frameworks). • Design, implement, and maintain well-structured, testable code. • Review pull requests and provide constructive, actionable feedback. • Debug and improve existing systems, including legacy components. • Improve system reliability, performance, and scalability. • Collaborate with cross-functional partners to deliver features and resolve issues. • Contribute to engineering documentation and best practices.