Define and own enterprise-wide data architecture and modeling standards.
Design conceptual, logical, and physical data models across our core business domains.
Build our modern data platform – pipelines, lakehouse/warehouse layers, and medallion-architected datasets.
Create scalable, AI-ready data environments that support 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

Bring 8+ years of experience in data architecture, data modeling, or analytics engineering.
Have strong hands-on experience with modern data platforms and modeling techniques, as well as cloud platforms (GCP, AWS, Azure) and tools like Databricks, BigQuery, Redshift, or Snowflake.
Know how to build data warehouses, lakehouses, pipelines, and large-scale data ecosystems.
Understand how to design AI-ready data foundations that support analytics and ML.
Are familiar with medallion architecture, data governance, observability, and data catalogs.
Act as a decisive technical expert who can guide senior engineers and influence architectural direction.
Communicate exceptionally well, using storytelling to simplify complex topics.
Feel comfortable shaping standards, and best practices from scratch.
Stay curious about things like RAG, enterprise AI agents, and modern data architecture patterns.
Care about security, responsible data practices, and maintaining a high quality bar.
Operate as a self-starter with an ownership mindset, able to establish architecture and modeling practices with minimal oversight.
Have a great command of English and Polish (both written & spoken).
Are flexible around the afternoons – we prioritize everyone’s personal time and work-life fit, but since we work in PL-US teams, occasional evening meetings may be necessary to ensure smooth communication across time zones.
(Nice to have) Bring experience from large organizations with mature architecture teams or from insurance.

Benefits

📝 Form of contract of your choosing
🌎 Remote work & flexible working hours
🏖️ Paid break in acting services
💊 Private medical care with dentists & orthodontists package for you and your family
❤️ Group life insurance
🧘 Psychotherapists support — free online sessions with psychologists and psychotherapists.
🤸 Home physiotherapy
🏅 Multisport card & meditation apps reimbursed 50%
💻 Gear with Apple Logo and a nice Dell monitor
🌱 50% reimbursement for courses, conferences, books & certificates
🇺🇸 Free access to private language lessons
🐕 6 Personal Development Days & 4 Voluntary Days Off
🎫 Cafeteria platform – extra “stówka” every month to spend on whatever you want to
🧒 Nanny services for parents
📦 Concierge services – a personal assistant to help you to deal with your everyday matters
🎮 Chill room with table football & PlayStation 5
🍦 Free snacks, and ice cream in the office (every day, all year round!)
🍱 Free Friday Lunch in the office
🎉 Team building events – we party together several times a year during the annual Offsite & Christmas Parties, beer after work, or our #WinterEscapeMonth workation in Cyprus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelinganalytics engineeringdata governanceobservabilitydata catalogsAI-ready data foundationsmedallion architecturedata pipelineslarge-scale data ecosystems

Soft Skills

communicationstorytellingdecisive technical expertiseownership mindsetcuriosityinfluencing architectural directionsimplifying complex topicsflexibilityself-startershaping standards