Principal Software Engineer

About Matia

Matia is at the forefront of the DataOps revolution, building a unified platform that streamlines data management from end-to-end. We empower data teams with seamless ingestion, reverse ETL, comprehensive observability, and intuitive data cataloging, enabling faster, smarter decisions with significantly less tool sprawl. Backed by leading investors and trusted by data teams at companies like Ramp, Honeybook, and Lemonade, we're building the future of data confidence. Join us in shaping an innovative product and a high-impact engineering culture.

The Opportunity

We are seeking a visionary and highly influential Principal Software Engineer / Software Architect to define and drive the architectural direction of Matia’s unified DataOps platform. This is a strategic and hands-on role where you will be responsible for the holistic design of our large-scale, cloud-native solutions, ensuring they are robust, scalable, secure, and maintainable. You will be instrumental in evolving our technology stack, ensuring our architecture supports future business growth and innovation, and mentoring the next generation of technical leaders.

What You'll Do

Define & Own Architecture: Define, evangelize, and own the overall software architecture vision and strategy for Matia's unified DataOps platform.

Lead System Design: Lead the design and evolution of complex, large-scale, and highly distributed cloud-native systems on AWS, ensuring high performance, scalability, reliability, and security.

Establish Standards: Establish and enforce architectural standards, best practices, and patterns across all engineering teams.

Strategic Collaboration: Collaborate closely with executive leadership, product management, and engineering teams to translate business strategy into actionable technical roadmaps and architectural solutions.

Hands-on Guidance: Provide hands-on architectural guidance, review critical designs, and contribute to proof-of-concepts or complex coding challenges when necessary.

Risk Mitigation: Proactively identify and mitigate architectural risks, anticipating future technical challenges and designing resilient solutions.

Technical Leadership & Mentorship: Mentor and provide strong technical leadership to senior engineers and other architects, fostering a culture of technical excellence and continuous learning.

Technology & Tooling: Drive technology selection, evaluation, and adoption processes, ensuring alignment with architectural principles and business needs.

What We're Looking For

We are seeking a strategic technical visionary and a chief builder of systems-level designs.

Must-Haves

Experience: 7+ years of extensive experience in software development, with at least 3-5 years in a dedicated architecture or principal engineering role.

Large-Scale System Design: Proven track record of designing and delivering complex, large-scale SaaS platforms or highly distributed systems.

Architectural Expertise: Deep expertise in various system architecture patterns (e.g., microservices, event-driven, serverless) and their practical application.

Cloud Mastery (AWS): Mastery of cloud platforms, especially AWS, including extensive experience architecting solutions using a broad range of AWS services.

Technical Leadership & Governance: Strong capability in technical leadership, architectural governance, and mentorship.

High-Impact Decision Making: Ability to make critical high-level decisions with long-term impact on the system.

Hands-on Technical Expertise: Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python and 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.

Communication & Influence: Ability to communicate complex technical concepts clearly and persuasively to diverse audiences, from engineers to executive leadership.

Nice-to-Haves

Data Tools Experience: Experience within a data tools company (e.g., ETL, Reverse ETL, Observability, Catalog).

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