Data Architect

About the role

DWS is hiring a Data Architect in Madrid within its Solution & Data Architecture team. The team shapes architecture patterns and guidelines and works with Domain Architects, Security and Data SMEs and delivery teams so that every solution delivered follows the organisation's strategy and policies. The team also maintains the Enterprise Data Model (EDM) and helps turn it into physical models on data management systems.

Key responsibilities

• Break down functional and non-functional requirements into data-related building blocks, choosing the most appropriate data model, ingestion and consumption strategies.
• Work with and coach data engineers to put the data model and ingestion/consumption patterns into practice.
• Collaborate with Domain Architects and fellow architects on strategic architecture decisions, patterns and reusable solutions.
• Contribute to solution design with Solution Architects and defend the design before Design or Security Council approval.
• Maintain the Enterprise Data Model and help materialise it into physical models where needed.
• Assess and research new technologies, derive usage patterns for the wider organisation and keep the technology estate and data architecture up to date.

Required profile

• Degree in Computer Science or a related field with at least 5 years of experience in data engineering and architecture.
• Prior experience in the financial industry or asset management is a big plus.
• Strategic thinking and planning, with a tendency to build common solutions and patterns for recurring problems.
• Experience deploying workloads to the cloud, preferably GCP.
• Experience designing or integrating with ABAC or RBAC controls (IAM).
• Proven ability to use AI tools to improve productivity and workflows, with responsible and ethical use of data and AI outputs.

Required skills

• Strong data modelling skills: 0NF, 3NF, Star, Snowflake, DV 2.0, and the ability to choose the right combination of models.
• Understanding of batching, streaming, parallel ingestion and event-driven architectures.
• Knowledge of traditional RDBMS such as Oracle, SQL Server and PostgreSQL; proficiency in Snowflake is a big plus.

What we offer

• A personalised benefits plan covering healthcare, company perks and retirement planning.
• A hybrid working model balancing office collaboration and working from home, with the split discussed during the application and interview process.