Senior Data Architect – Financial Services

About the role

We are looking for a senior Data Architect to lead the design and implementation of our data architecture framework. The role will shape data standards, governance, and platform choices to support business objectives in the financial services sector.

Key responsibilities

• Define and maintain the data architecture framework, standards, and principles covering modeling, metadata, security, reference and master data.
• Design data processing models that align with business requirements and ensure high data quality and governance.
• Select appropriate data and analytics tools (e.g., Data Lakes, Data Warehouses, ML platforms such as Kubeflow or DataRobot) and influence technology decisions.
• Collaborate with technical teams to translate business domain models into logical data models.
• Establish data standards, governance frameworks, and integration reference architectures for next‑generation platforms.
• Drive the development, governance, and continuous improvement of data and analytics reference architectures.

Required profile

• Minimum 10 years of hands‑on experience in data design, building, and visualization.
• Strong analytical ability with attention to detail and accuracy.
• Proven experience working with business stakeholders in the financial services industry.
• Background as a Data Architect, Data Analyst or Business Data Analyst.

Required skills

• PowerBI, Qliksense, Tableau, Cognos
• SQL, Python, Java, R, JSON
• MSSQL, Oracle databases
• Data Lake, Data Warehouse concepts
• Machine Learning platforms (Kubeflow, DataRobot)