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CAPCO — Czech Republic
Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people?
Why Join Us
Continuous Learning Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic.
Benefits
285 CZK/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop Well-being Community Engagement – Join mental health webinars, running challenges, sports activities, or participate in our volunteering days.
package. Long-term career – Indefinite period contract with opportunities for career growth.
Compensation (Adjusted Based On Experience)
+ annual bonus
About The Role
We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities. We are seeking a Data Platform Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.
You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.
What You’Ll Do
1. Own Enterprise Data Architecture Design and maintain the end-to-end data architecture across systems Define canonical data models that unify data from SAP, internal applications, and financial systems Establish standards for data structure, naming, and consistency 2. Design Data Pipelines Orchestration Architect and oversee data pipelines and transformation layers Work with our internal ETL/orchestration platform to manage data flows Ensure scalability, reliability, and observability of pipelines 3.
, Anaplan) Resolve inconsistencies and define a single source of truth 4. Enable BI Analytics Design analytics-ready data models (fact/dimension structures) Partner with BI teams (Looker) to ensure consistent, scalable reporting Support metric standardization across the organization 5. Drive Data Strategy Maturity Assess current data landscape and define a data maturity roadmap Introduce best practices in: Data governance Data quality Data lifecycle management 6.
Requirements
into scalable data solutions Act as a bridge between technical and functional teams
What We’Re Looking For
Must-Have Experience Proven experience in Data Architecture or Senior Data Engineering roles Strong background in designing end-to-end data pipelines Experience with data modeling for analytics (fact/dimension, semantic layers) Experience integrating multiple systems (ERP, APIs, internal platforms) Proficiency in SQL and Python (or similar modern data tooling) Solid understanding of data warehousing and modern data architectures
Nice To Have
Experience with orchestration tools (e.g., Airflow, Dagster, or similar) Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery) Experience working with BI tools such as Looker Exposure to API-based data ingestion and semi-structured data (JSON) How to Sta