Job
Description
Job Title: Database Architect Financial Systems Location: Noida Experience: 10-12 Years Employment Type: Full-Time Job Summary: We are looking for an experienced Database Architect to design and optimize the data architecture for a high-transaction banking application . The ideal candidate should have deep expertise in relational and NoSQL databases, data modeling, and database security within financial services. Should have knowledge of cloud-based data solutions. Key Responsibilities: Design scalable, secure, and high-performance database architectures for large-scale banking applications . Develop database solutions using Oracle 19c and above, PostgreSQL, MySQL, MongoDB, Cassandra, or other distributed databases . Optimize database performance , indexing strategies, partitioning, and query tuning . Define data governance policies to ensure compliance with financial regulations (PCI-DSS, GDPR, etc.) . Design and implement ETL pipelines, data warehousing, and real-time analytics solutions. Work closely with application architects, DevOps engineers, and security teams to ensure seamless integration and data flow. Automate database deployment and monitoring using Terraform, Ansible, and Kubernetes operators . Provide guidance on database migrations, upgrades, and cloud adoption strategies . Ensure data security best practices , encryption, and access control mechanisms are in place. Required Skills and Qualifications: Bachelor's degree in Computer Engineering, Computer Science, or related field. 10-12 years of experience in database architecture and engineering. Strong expertise in SQL and NoSQL databases such as Oracle 19c and above, PostgreSQL, MySQL, MongoDB, Cassandra, or Google Spanner . Good to have knowledge of cloud-native database solutions (AWS RDS, Aurora, DynamoDB, Google Cloud Spanner, Cosmos DB, etc.). Proficiency in performance tuning, query optimization, and indexing techniques . Experience with database security principles, encryption, access control, and compliance regulations . Knowledge of ETL pipelines, data lakes, and real-time data processing . Familiarity with DevOps, automation, and Infrastructure-as-Code tools (Terraform, Ansible, Kubernetes, etc.) .
