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Home
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Amity Software Systems
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Database Architect Financial Systems

Database Architect Financial Systems

Amity Software Systems

10 - 12 years

35 - 40 Lacs

Noida

Posted:1 day ago| Platform:

Apply

Skills Required

Performance tuning ERP SAP Data modeling MySQL Javascript Oracle Analytics SQL CRM

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title:

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
.

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