Senior Data Architect (She/ He/ They)

Capco is a global management and technology consultancy dedicated to the financial services industry. We partner with leading banks, insurers, and fintechs to deliver data-driven transformation, operational excellence, and innovative digital solutions.

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.

• 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

• HR Interview
• Hiring Manager Technical Interview
• Client Interview
• Feedback and offer

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