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Enterprise Solutions Architect

Enterprise Solutions Architect

Mphasis

0 years

0 Lacs

chennai tamil nadu india

Posted:23 hours ago| Platform:

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Skills Required

data architecture management nosql compliance trading portfolios risk toad design analytics vsam azure migration oracle sql server ifrs etl apache tracking relational mongodb couchbase redshift query hadoop talend nifi airflow spark governance collibra masking encryption audit programming python scripting scala

Work Mode

On-site

Job Type

Full Time

Job Description

Role: Enterprise Architect

Who are we looking for?

As a Senior Data Architect in the BFSI domain, you will be responsible for designing and governing data architecture across core banking, Wealth Management and financial platforms. You’ll lead initiatives that span legacy systems (mainframes) to modern cloud-native and NoSQL solutions, ensuring regulatory compliance, data lineage, and high availability for mission-critical applications.

Domain Expertise:

Deep understanding of
BFSI data domains
: customer, account, transaction, trading, portfolios, positions, credit, risk, claims, policy, and underwriting.
Experience with
financial data modeling
, including
ledger structures
,
risk hierarchies
, and
regulatory taxonomies
.

Data Modeling & Architecture:

Proficiency in
Erwin
,
PowerDesigners
, or
Toad Data Modeler
.
Experience with
3NF
,
dimensional modeling
,
data vault
, and
canonical models
.

Key Responsibilities:

Architect scalable data solutions for
core banking
,
Wealth Management
,
risk management
,
fraud detection
, and
regulatory reporting
.
Design
data models
for transactional systems, data warehouses, and real-time analytics platforms.
Lead
data migration
from legacy systems (e.g., DB2, VSAM) to cloud platforms like
Snowflake
,
Azure Synapse
, or
Google Big Query.
Lead Data migration from Oracle to Postgres, SQL Server to Postgres
Collaborate with compliance teams to ensure
data governance
,
auditability
, and
regulatory alignment
(e.g., Basel III, IFRS, GDPR).
Build and optimize
ETL/ELT pipelines
for high-volume financial data using tools like
Informatica
,
Talend
,
Apache NiFi
, or
Azure Data Factory
.
Integrate data across
core banking systems
,
Wealth Management Systems
,
CRM
,
insurance platforms
, and
digital channels
.
Define metadata standards, lineage tracking, and master data management frameworks.
Mentor data engineers and analysts; contribute to architectural reviews and BFSI-specific best practices.

Knowledge & Skills:

Databases & Platforms:

Mainframe -

Relational -

NoSQL -

Cloud DBs -

Data Lakes -

Tools -

ETL & Streaming:

Informatica
, Talend, Apache NiFi, Azure Data Factory, IICS,
Airflow and DBT
Kafka
, Spark Streaming, Flink for real-time data ingestion

Cloud & DevOps:

Hands-on with
GCP
data services
AWS
,
Azure
Familiarity with
Terraform
,
Git
,
CI/CD
,
Docker
,
Kubernetes

Governance & Security:

Tools: Collibra, Alation, Apache Atlas
Practices: Data lineage, masking, encryption, RBAC, audit trails

Programming & Scripting:

SQL, Python, Shell scripting, Scala (optional)

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