Principal Software Engineer leading the architectural vision for Matia’s unified DataOps platform. Designing and mentoring within a high-impact engineering culture.
Responsibilities
Define, evangelize, and own the overall software architecture vision and strategy for Matia's unified DataOps platform.
Lead the design and evolution of complex, large-scale, and highly distributed cloud-native systems on AWS.
Establish and enforce architectural standards, best practices, and patterns across all engineering teams.
Collaborate closely with executive leadership, product management, and engineering teams to translate business strategy into actionable technical roadmaps and architectural solutions.
Provide hands-on architectural guidance, review critical designs, and contribute to proof-of-concepts or complex coding challenges when necessary.
Proactively identify and mitigate architectural risks, anticipating future technical challenges and designing resilient solutions.
Mentor and provide strong technical leadership to senior engineers and other architects.
Drive technology selection, evaluation, and adoption processes, ensuring alignment with architectural principles and business needs.
Requirements
7+ years of extensive experience in software development
At least 3-5 years in a dedicated architecture or principal engineering role
Proven track record of designing and delivering complex, large-scale SaaS platforms or highly distributed systems
Deep expertise in various system architecture patterns (e.g., microservices, event-driven, serverless) and their practical application
Mastery of cloud platforms, especially AWS
Strong capability in technical leadership, architectural governance, and mentorship
Ability to make critical high-level decisions with long-term impact on the system
Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python
Deep understanding of high-performance SQL/NoSQL database design and K8S
Experience working with message queue technologies (e.g., Kafka, SQS, RabbitMQ) to build scalable and reliable data pipelines
Ability to communicate complex technical concepts clearly and persuasively to diverse audiences.
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