Enterprise Solutions Architect

2 days ago

New Delhi, India Mphasis Full time

Job Description Role: Enterprise ArchitectWho 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 ofBFSI data domains : customer, account, transaction, trading, portfolios, positions, credit, risk, claims, policy, and underwriting. Experience withfinancial data modeling , includingledger structures ,risk hierarchies , andregulatory taxonomies . Data Modeling & Architecture: Proficiency inErwin ,PowerDesigners , orToad Data Modeler . Experience with3NF ,dimensional modeling ,data vault , andcanonical models .Key Responsibilities: Architect scalable data solutions forcore banking ,Wealth Management ,risk management ,fraud detection , andregulatory reporting . Designdata modelsfor transactional systems, data warehouses, and real-time analytics platforms. Leaddata migrationfrom legacy systems (e.g., DB2, VSAM) to cloud platforms likeSnowflake ,Azure Synapse , orGoogle Big Query.Lead Data migration from Oracle to Postgres, SQL Server to Postgres Collaborate with compliance teams to ensuredata governance ,auditability , andregulatory alignment(e.g., Basel III, IFRS, GDPR). Build and optimizeETL/ELT pipelinesfor high-volume financial data using tools likeInformatica ,Talend ,Apache NiFi , orAzure Data Factory . Integrate data acrosscore banking systems ,Wealth Management Systems ,CRM ,insurance platforms , anddigital 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: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: Informatica , Talend, Apache NiFi, Azure Data Factory, IICS,Airflow and DBT Kafka , Spark Streaming, Flink for real-time data ingestion Cloud & DevOps: Hands-on withGCPdata servicesAWS ,Azure Familiarity withTerraform ,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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