Database Architect (AI Platform)

Database Architect (AI Platform)

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate, and above all fun.

About the Team :

The FIS Client Office AI team focuses on applying practical, responsible AI to improve how clients and client‑facing teams experience our products and services. We work at the intersection of business, technology, and data—partnering closely with product, engineering, and client teams to build AI‑driven capabilities that enhance insight, efficiency, and decision‑making across the client lifecycle. Our work spans applied machine learning, generative AI, and intelligent automation, with a strong emphasis on real‑world impact, scalable platforms, and ethical AI practices. We value engineers and architects who enjoy solving complex problems, collaborating across functions, and turning emerging AI capabilities into meaningful outcomes for clients.

What you will be doing:

The role is responsible for cloud‑native data architecture, data governance, security, and regulatory compliance, while supporting AI/ML workloads at scale.

• Design and implement the data architecture for an enterprise AI Platform, supporting structured, semi‑structured, and unstructured data
• Select and implement appropriate cloud database and data storage technologies (relational, NoSQL, analytical, vector, object storage)
• Build databases and data services to support AI/ML model training, inference, evaluation, and observability
• Define data access patterns and performance strategies aligned to AI use cases

• Implement and manage databases on public cloud platforms (Mainly Azure; Optional AWS or GCP)
• Optimize for scalability, availability, cost, and performance in cloud environments
• Work closely with platform, MLOps, and DevOps teams to enable automation, CI/CD, and Infrastructure as Code for data components
• Design and support data integration between the AI Platform and existing FinTech products, including mainframes, core banking systems, and legacy databases

• Enable secure and reliable data ingestion, synchronization, and replication
• Handle data transformation, reconciliation, and lineage across modern and legacy systems

• Define and implement data governance frameworks covering:
  • Data quality and validation
  • Metadata management and lineage
  • Data classification and ownership
  • Retention, archival, and purge policies
• Implement access controls, encryption, masking, and auditing aligned with regulatory requirements (financial services, privacy, and security standards)
• Partner with risk, compliance, and security teams to ensure platform readiness for audits

• Own database reliability including backup, recovery, high availability, and disaster recovery
• Proactively monitor and tune database performance
• Define SLAs, SLOs, and operational runbooks for critical data services
• Support incident resolution and root‑cause analysis

• Work closely with AI engineers, architects, product owners, and security teams
• Provide technical guidance on data design and best practices
• Review designs and mentor other DBAs or engineers as the platform scales

What you bring:

• 10 to 15 years of experience in database architecture or senior DBA roles
• Proven experience owning end‑to‑end database lifecycle (design → build → operate)
• Strong background in enterprise or FinTech environments

• Strong expertise in relational databases (e.g., PostgreSQL, Oracle, SQL Server, MySQL)
• Experience with NoSQL and analytical databases (e.g., DynamoDB, Cassandra, MongoDB, BigQuery, Snowflake, Redshift)
• Exposure to vector databases or feature stores is a plus

• Hands‑on experience with cloud‑managed data services (Mainly Azure; Optional AWS or GCP)
• Understanding of containerized and distributed systems
• Familiarity with IaC tools (Terraform, ARM, or CloudFormation)

• Experience implementing data governance, privacy, and security controls
• Strong understanding of regulatory and compliance needs in financial services
• Practical experience with encryption, access management, and auditing

What we offer you :

• An exciting opportunity be a part of World’s Leading FinTech Product MNC
• To be a part of vibrant team and to build up a career on core banking/payments domain
• Competitive salary and attractive benefits including GHMI/ Hospitalization coverage for employee and direct dependents
• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
• A broad range of professional education and personal development possibilities – FIS is your final career step

Privacy Statement

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Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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