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Apply in 3 Minutes : Enterprise Solutions Architect
MphasisIndia13 hours ago
Job descriptionProficiency in Erwin, PowerDesigners, or Toad Data Modeler. Experience with 3NF, dimensional modeling, data vault, and canonical models. 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. Informatica, Talend, Apache NiFi, Azure Data Factory, IICS, Airflow and DBT Kafka, Spark Streaming, Flink for real-time data ingestion Hands-on with GCP data services AWS, Azure Familiarity with Terraform, Git, CI / CD, Docker, Kubernetes Tools : Collibra, Alation, Apache Atlas Practices : Data lineage, masking, encryption, RBAC, audit trails SQL, Python, Shell scripting, Scala (optional)
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 :
Key Responsibilities :
Knowledge & Skills :
Databases & Platforms : Category Technologies
Mainframe - IBM DB2, IMS, VSAM
Relational - Oracle, SQL Server, PostgreSQL,
NoSQL - MongoDB, Cassandra, Couchbase, Aerospike
Cloud DBs - Snowflake, Redshift, Big Query, Azure Synapse, Yugabyte
Data Lakes -Hadoop, Azure Data Lake, Amazon S3
Tools -SQL server Management Studio, TOAD, Foglight, Boost, Studio 3T
ETL & Streaming :
Cloud & DevOps :
Governance & Security :
Programming & Scripting :
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