As a Data Architect, you will design and shape the enterprise data landscape for institutions in the financial sector, including banking and financial services. You will work closely with business, analytics, and technology stakeholders to ensure that data is structured, governed, and accessible in a way that supports analytical, BI, and AI/ML use cases.
Requirements
- Design and evolve the enterprise data landscape, including data platforms, data integration patterns, and analytical data stores
- Act as a trusted advisor and reference point for data architecture within the organization and for clients
- Define data models, data flows, and architectural standards that support BI, analytical, and AI/ML use cases
- Collaborate with analytics, BI, and ML teams to ensure data architecture effectively support reporting, advanced analytics, and machine learning
- Support pre-sales and client engagements by contributing to data architecture concepts, solution designs, and proposals
- Capture and share best practices in data architecture, data modeling, and platform design across teams
- Ensure that data solutions meet non-functional and regulatory requirements, including security, data quality, governance, lineage, and auditability
Benefits
- Competitive salary
- Extra benefit package
- On-line training and certifications
- Regular social events
- Access to e-learning platform