About this role
Data Architect (Databricks Focus)
YOUR ROLE
We are looking for an experienced Data Architect with a strong focus on Databricks to strengthen Capgemini Portugal’s Data & AI team. This professional will be responsible for defining modern lakehouse architectures, guiding delivery teams through complex technical challenges, and supporting commercial initiatives by designing robust, scalable, and cost-optimized solutions for our clients.
- Own the architecture of Databricks-based solutions from discovery through delivery, ensuring scalability, maintainability, and performance;
- Define and implement lakehouse patterns using Databricks (e.g., Delta Lake, Unity Catalog), enabling analytics and AI/ML workloads;
- Design data ingestion and transformation pipelines (batch and streaming), with best practices for reliability, observability, and SLA management;
- Establish standards for data modeling, dataset design, and domain-oriented data products where applicable;
- Drive security, governance, and compliance: access control, data privacy, auditing, lineage, and catalog strategies (Unity Catalog, integration with enterprise IAM);
- Provide technical leadership during delivery: unblock teams, handle architectural trade-offs, and guide performance/cost tuning (clusters, job patterns, optimization);
- Define DataOps/MLOps adjacent practices as needed (CI/CD, testing strategies, environment promotion, monitoring);
- Support pre-sales and commercial initiatives: solution architecture, technical proposal content, effort estimation, delivery approach, and client technical workshops;
- Work closely with cloud teams to integrate Databricks with AWS/Azure/GCP services (storage, networking, security, orchestration tools).
YOUR PROFILE
- At least 5 years of experience in data architecture and/or data engineering with hands-on experience in modern data platforms;
- Strong experience with Databricks implementations (architecture + delivery), including Delta Lake and governance concepts (e.g., Unity Catalog);
- Strong knowledge of:
- Lakehouse architectures and data warehousing concepts
- Streaming and batch design patterns
- Performance tuning and cost optimization in distributed data processing
- Data governance/security patterns at scale
- Experience designing solutions on at least one major cloud (Azure/AWS/GCP) and integrating with cloud-native services;
- Excellent communication and stakeholder management skills; able to lead architecture discussions with both IT and business;
- Proactive, structured problem-solving;