About this role
As a part of our team, you'll help us shape a platform that works for One — a business owner, an artist, a freelancer.
You will lead our Data squad — the service provider every other squad depends on for data. You'll own the technical direction of the data platform: read models, CDC pipelines, and the analytical warehouse serving all teams. Our data platform is derived from the operational systems of record. You'll run the squad as an internal service: other teams bring requests;
you turn them into reliable, auditable data products.
You'll take ownership of:
- Squad Leadership & Execution: Lead, guide, and grow a high-performing squad of data and backend engineers. As Tech Lead you own outcomes end-to-end, including dependencies on other teams — success means features are live in production, not just tasks closed. You act as the technical reference point for other teams, remaining deeply hands-on by modeling AI-augmented development workflows and shipping production code every week.
- Data Platform Architecture: Define and evolve the technical blueprints for our high-load data platform, designing robust ETL/ELT pipelines and real-time processing services in Go — the data platform derives from operational sources and never becomes the master.
- Data Residency & Segregation: Architect storage and data flows that satisfy regulatory residency and segregation requirements, with auditability and retention built in.
- Event-Driven Systems & Streaming: Design event-driven data flows and CDC pipelines from operational databases into the warehouse;
we run NATS, PostgreSQL, and ClickHouse.
- AI Tooling & Workflow Optimization: Integrate AI agents into the daily engineering workflow, configuring system rules, skills management, and prompt pipelines (Claude, Cursor) to elevate squad productivity.
- Data Observability & Engineering Craft: Ensure data consistency, reliability, and observability across PostgreSQL and ClickHouse storage layers while mentoring engineers across Go and TypeScript stacks, meeting regulatory-grade auditability and data-segregation requirements.
About you
- Engineering Leadership & Depth: You are a senior engineer (5+ yrs) with real experience leading an engineering team, bringing deep technical gravitas to guide architectural decisions and elevate your team's craft.
- Go System Mastery: You feel completely at home writing production-grade Go, bringing a deep understanding of concurrency patterns, performance tuning, and idiomatic backend execution.
- Data Streaming & Pipeline Expertise: You bring proven experience building CDC/ELT pipelines and scaling event-driven data architectures (e.G. NATS, Kafka).
- Database & Data Residency Depth: You bring strong, hands-on knowledge of PostgreSQL and ClickHouse (OLAP), alongside practical experience handling data residency and segregation requirements in regulated, multi-jurisdiction environments.
- Regulated FinTech Background: Prior experience building data platforms inside fintech, neobank, or regulated digital asset environments.
- AI-Native Modeling: You actively model the engineering craft using modern development assistants (Cursor, Claude) to accelerate daily architecture design, rule configuration, and code delivery.
- Transparent & Supportive Leadership: You communicate openly and prioritize mutual team respect and knowledge sharing.
- Linguistic Fluency: You speak and write English fluently (B2+) to confidently communicate technical architectures and drive alignment across global teams.
Can get you a few bonus points:
- Kafka Ecosystem Experience: Practical experience with the Kafka ecosystem, including custom connectors and complex transformations in Kafka Connect.
- ClickHouse Optimization: Direct experience with ClickHouse performance tuning, query optimization, and schema design at scale.
- Production ML Systems: Experience integrating machine learning pipelines or model outputs into live production data streams.
The UMO Standard
- Dynamic Work Environment: Vibrant offices and strong local teams across Lisbon, Dubai, Kyiv, and Lviv — with openness to remote for the right fit.
- Rest & Recovery: 24 days of annual leave, dedicated paid sick leave, and observance of Public Holidays to keep you at your best.
- Recharge Week: After your first year with us, enjoy two consecutive 4-day work weeks annually — a built-in reset to help you sustain peak performance for the long run.
- Full Setup: Top-of-the-line hardware and a home office stipend so you can do your best work anywhere.
- Growth Ecosystem: A dedicated learning budget and room to grow as the company grows.
- Impact & Ownership: Your work directly shapes the product and company direction — not just executes it.
Ai Tech Lead: Salesforce Field Force & Ia - $1,865 - $2,331 A Month • Lisbon, Portuguese Republic, PT