Senior Data Architect (She/ He/ They)
Capco
IT
Poland
Posted on Mar 16, 2026
CAPCO POLAND
Role Overview
We are looking for a Data Architect to join a strategic client project where architecture design, technology selection, and implementation alignment are critical to success.
This is a consulting role for a professional who combines strong architectural thinking with hands-on technical expertise. You will bridge business data requirements, logical and physical data models, cloud platforms (GCP/Azure), and implementation realities.
You will be responsible for shaping end-to-end data architecture — from conceptual and logical models, through tooling recommendations, to supporting implementation teams in building scalable, secure, and future-ready data platforms.
What You’ll Do
Data Architecture Design
Recruitment Process
- We're looking for Poland-based candidates.
Role Overview
We are looking for a Data Architect to join a strategic client project where architecture design, technology selection, and implementation alignment are critical to success.
This is a consulting role for a professional who combines strong architectural thinking with hands-on technical expertise. You will bridge business data requirements, logical and physical data models, cloud platforms (GCP/Azure), and implementation realities.
You will be responsible for shaping end-to-end data architecture — from conceptual and logical models, through tooling recommendations, to supporting implementation teams in building scalable, secure, and future-ready data platforms.
What You’ll Do
Data Architecture Design
- Define target data architecture aligned with business and governance requirements
- Design conceptual, logical, and physical data models
- Establish data integration patterns (batch, streaming, APIs)
- Define data storage, processing, and consumption layers (lake/lakehouse/warehouse paradigms)
- Ensure alignment between data architecture and enterprise architecture standards
- Design scalable cloud-native data platforms on GCP and/or Azure
- Define architecture patterns leveraging services such as:
- GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage)
- Azure (Synapse, Data Factory, Databricks, ADLS, Event Hub)
- Ensure security, IAM, data protection, and cost-efficiency principles are embedded
- Design DevOps/DataOps approaches for CI/CD and infrastructure-as-code
- Assess current data ecosystem and identify architecture gaps
- Recommend appropriate tools for ingestion, transformation, storage, metadata, and data quality
- Define selection criteria and evaluate vendors/platform components
- Ensure tooling decisions align with scalability, governance, and long-term maintainability
- Provide hands-on support in prototyping and validating architecture decisions
- Guide engineering teams during implementation
- Review code, pipelines, and data models where needed
- Resolve architectural blockers and technical risks
- Ensure performance optimisation and reliability of data solutions
- Proven experience as a Data Architect or Senior Data Engineer in transformation projects
- Strong understanding of data modelling (conceptual, logical, physical)
- Hands-on experience building data platforms in GCP and/or Azure
- Strong knowledge of modern data architecture patterns (lakehouse, data mesh, event-driven architectures)
- Experience designing and implementing ETL/ELT pipelines
- Solid understanding of SQL, distributed data processing, and cloud-native architectures
- Practical experience with DevOps/DataOps practices
- Ability to translate business requirements into scalable technical designs
- Cloud: GCP and/or Azure
- Data Warehousing & Lakehouse architectures
- SQL and data transformation frameworks
- Orchestration tools (e.g., Airflow, Azure Data Factory)
- Infrastructure as Code (e.g., Terraform) – nice to have
- CI/CD pipelines for data platforms
- Experience working with large-scale structured and semi-structured datasets
- Strong technical background with architectural mindset
- Comfortable switching between whiteboard design and hands-on validation
- Experience working in consulting or complex transformation environments
- Ability to communicate architecture decisions clearly to both business and technical stakeholders
- Pragmatic, solution-oriented, delivery-focused
Recruitment Process
- HR Interview
- Hiring Manager Technical Interview
- Client Interview
- Feedback and offer