Matia

Meet Matia, a data operations platform that streamlines data management through unified ingestion, reverse ETL, observability, and catalog - built for the modern data stack. Designed for seamless collaboration, Matia empowers organizations and the data teams that power them faster, smarter decisions with less tool bloat.

matia.io

Matia

matia.io

HQUS

Team Size40

Open Jobs28

Total Funding-

Latest FundraiseUnknown

TL;DR

Product: Unified DataOps platform combining ingestion/ETL, reverse ETL, observability, and a data catalog

Founding year: 2023

Founders: Benjamin (Ben) Segal (Co‑Founder & CEO) and Geva Segal (Co‑Founder & CTO)

Notable funding: Seed $10.5M (Oct 29, 2024) led by Leaders Fund & Secret Chord Ventures

Headcount: ~40 employees

Company Overview

Problem Domain

Data operations (DataOps) for managing ingestion, transformations, reverse ETL, observability, and data discovery/cataloging.

Founded

2023

Industry

Enterprise software / Data infrastructure

Funding Track Record

Seed- October 29, 2024

$10.5M

Participants included Cerca Partners and Caffeinated Capital

Series A- February 10, 2026

$21M

Participation from prior seed investors (Leaders Fund, Secret Chord Ventures, Cerca Partners, Caffeinated Capital), VelocityX and multiple angel investors

Investor Signal

“Has backing from early-stage and growth investors including Leaders Fund, Secret Chord Ventures, Red Dot Capital Partners, and participation from strategic angels”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Matia

matia.io

Matia

matia.io

HQUS

Team Size40

Open Jobs28

Total Funding-

Latest FundraiseUnknown

TL;DR

Product: Unified DataOps platform combining ingestion/ETL, reverse ETL, observability, and a data catalog

Founding year: 2023

Founders: Benjamin (Ben) Segal (Co‑Founder & CEO) and Geva Segal (Co‑Founder & CTO)

Notable funding: Seed $10.5M (Oct 29, 2024) led by Leaders Fund & Secret Chord Ventures

Headcount: ~40 employees

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Company Overview

Problem Domain

Data operations (DataOps) for managing ingestion, transformations, reverse ETL, observability, and data discovery/cataloging.

Founded

2023

Industry

Enterprise software / Data infrastructure

Funding Track Record

Seed- October 29, 2024

$10.5M

Participants included Cerca Partners and Caffeinated Capital

Series A- February 10, 2026

$21M

Participation from prior seed investors (Leaders Fund, Secret Chord Ventures, Cerca Partners, Caffeinated Capital), VelocityX and multiple angel investors

Investor Signal

“Has backing from early-stage and growth investors including Leaders Fund, Secret Chord Ventures, Red Dot Capital Partners, and participation from strategic angels”

Founders

What we do

Join the Team

Principal Software Engineer

HybridTel Aviv-Yafo, Tel Aviv District

Hybrid • Tel Aviv-Yafo, Tel Aviv District

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.

We are seeking a visionary and highly influential 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.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

Full-timeNiš, RS

Full-time • Niš, RS

Machine Learning Engineer

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

Machine Learning Engineer

ContractLondon, GB

Contract • London, GB

Machine Learning Engineer

InternshipMunich, DE

Internship • Munich, DE

Data Scientist

ContractAmsterdam, NL

Contract • Amsterdam, NL

DevOps Engineer

ContractCambridge, GB

Contract • Cambridge, GB

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.

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.