Solution Architect – Data & AI
Job Summary
We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
Key Responsibilities
- Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
- Define and govern enterprise-wide data architecture standards, patterns, and reference models
- Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
- Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
- Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
- Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
- Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
- Mentor and guide solution architects and technical leads across delivery teams
Essential Skills
- Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
- Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
- Strong experience delivering large-scale, data-centric transformation programmes
- Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
Nice to Have Skills
- Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
- Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
- Strong collaboration, adaptability, and entrepreneurial mindset
- Familiarity with data mesh architectures and domain-oriented data ownership models
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
- Professional certifications in cloud, architecture, or data management are advantageous
What We Offer
- Competitive salary
- Technology-driven organization
- Open team spirit
- International environment
Contact the Recruiter
Megha Nagpal
Email: [email protected]
Phone: +31 6 2715 5643
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
