Senior Data Architect - SwingDev - Remote in Poland
Data Architect
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Job Description
About the role: As the Senior Data Architect, you'll be part of the center data function and will be at the heart of establishing our company's data architecture and modeling foundations from ground up. This is a rare opportunity to build a modern, AI‑ready data ecosystem without legacy constraints–true greenfield work with full ownership. You will design scalable data architecture across agency operations, homeowners policy systems, and our fronting carrier ecosystem. Your work will enable enterprise analytics, data products, and future AI use cases. We are seeking someone who is not just an expert, but also can have a strong influence on technical development direction, drive standards, and partner with senior engineers and business stakeholders.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 12 |
| Warsaw, Poland | 6 |
| Remote | 1 |
| Role type | Active listings |
|---|---|
| Software Engineer | 3 |
| Senior QA Engineer | 1 |
| Senior DevOps Engineer | 1 |
| IT Systems Administrator | 1 |
| DevSecOps Engineer | 1 |
| Product Manager | 1 |
| Recruitment Manager | 1 |
| Senior DevSecOps Engineer | 1 |
| Data Engineer | 1 |
| Senior IT Support Specialist | 1 |
| Manager | 1 |
| Role level | Active listings |
|---|---|
| Senior | 4 |
| Mid-level | 2 |
| Manager | 1 |
| Mid-Level | 1 |
SwingDev appears in 19 indexed job postings in JobCrawls' Finland dataset since August 2025. In that historical index, the strongest location signals for this employer are Remote - Global, Warsaw, Poland, and Remote.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Define and own enterprise-wide data architecture and modeling standards.
- Build our modern data platform – pipelines, lakehouse/warehouse layers, and medallion‑architected datasets.
- Create scalable, AI‑ready data environments supporting analytics, data products, and future AI/ML initiatives.
- Partner with engineers, analytics teams, and business stakeholders to ensure data is reliable, reusable, and secure.
- Implement strong data governance, observability, and cataloging to enable true self‑service and support data mesh principles.
- Drive strategic technical decisions, influencing platform and tooling choices with a modern, cloud‑native mindset.
- Translate complex data and AI concepts into simple, compelling narratives for non‑technical audiences.
- Advise on emerging AI architectures, including RAG patterns and enterprise AI agents.
- Shape a healthy, modern, future‑proof data environment from the ground up – without technical debt.
Requirements
- 8+ years of experience in data architecture, data modeling, or analytics engineering
Education Level
None required