Senior Data Platform Engineer, Proton

• Master’s degree in Computer Science, Engineering, Data Engineering, or a related technical discipline, or equivalent practical experience
• 5+ years of relevant professional experience in data engineering, data platform engineering, backend engineering, distributed systems, or a closely related field
• Strong software engineering skills, with excellent knowledge of Scala and/or Java, as well as solid Python experience. Experience writing production-grade, maintainable, and well-tested code is expected
• Strong understanding of distributed systems, including scalability, fault tolerance, consistency trade-offs, resource management, and operational failure modes
• Solid experience designing, building, and operating data pipelines in production environments, including batch and/or streaming workloads
• Experience with Apache Spark is highly recommended, especially in large-scale data processing environments
• Strong knowledge of databases, SQL, query optimization, data modeling, and data access patterns
• Good understanding of data warehouse and data lakehouse best practices in Big Data environments, including partitioning, schema evolution, data quality, reliability, observability, and performance considerations
• Experience working with large datasets, with the ability to reason about scalability, performance, cost, reliability, and operational trade-offs
• Ability to drive technical initiatives end-to-end, from problem framing and solution design to implementation, rollout, documentation, and long-term ownership
• Comfortable working with ambiguity and translating broad business or platform needs into pragmatic technical plans
• Strong communication skills, with experience collaborating across engineering, analytics, product, and business teams
• Mentoring experience, including supporting other engineers through technical guidance, code reviews, design discussions, and knowledge sharing
• A strong ownership mindset, with the ability to identify problems, propose solutions, align stakeholders, and move initiatives forward without requiring constant direction

Desirable

• The Proton Data team is responsible for everything that enables the company to make data-driven decisions, with our on-premise, custom data platform at the center.
• We are looking for a Senior Data Platform Engineer, to help maintain, improve and consolidate the data pipelines in our data platform, and help it take our data platform to the next level
• Drive end-to-end data engineering and data platform initiatives, from problem discovery and technical design to implementation, rollout, documentation, and long-term ownership
• Design, build, and operate reliable, scalable, and maintainable data pipelines that support analytics, product insights, experimentation, and business-critical reporting
• Work with large-scale batch and streaming data processing systems, ensuring data is accurate, timely, observable, and easy to consume
• Collaborate closely with engineering, product, analytics, data science, and business stakeholders to understand needs, clarify requirements, and translate them into pragmatic technical solutions
• Improve the reliability, performance, and operational maturity of the data platform, including monitoring, alerting, data quality checks, failure handling, and incident response
• Contribute to the evolution of our data architecture, including data modeling, warehouse/lakehouse practices, schema design, data contracts, ingestion patterns, and platform standards
• Help identify gaps in our current data ecosystem and propose scalable solutions that reduce complexity, improve developer experience, and enable teams to move faster
• Lead technical discussions and contribute to design reviews, architecture decisions, and roadmap planning for data platform initiatives
• Mentor and support other engineers through code reviews, pairing, technical guidance, and knowledge sharing
• Promote strong engineering practices across the team, including testing, documentation, observability, maintainability, and thoughtful trade-off analysis
• Take ownership of ambiguous or cross-functional problems and help turn them into clear, actionable initiatives with measurable impact