Experience with AWS services including:
S3, Redshift, Glue, Athena, Lake Formation
Lambda, Step Functions
IAM, KMS, Secrets Manager
EventBridge and data streaming services
Exposure with Microsoft Azure services including:
Azure Data Lake Storage (ADLS)
Microsoft Fabric
Experience designing enterprise-scale ETL/ELT solutions.
Knowledge of file transfer and integration technologies:
Managed File Transfer (MFT) solutions
API-based integrations (REST, SOAP)
Event-driven and streaming architectures
Experience integrating SaaS, on-premises, and cloud-based applications.
Expertise in enterprise data security and compliance practices.
Experience implementing:
Data encryption at rest and in transit
Key management solutions
Role-Based Access Control (RBAC)
Attribute-Based Access Control (ABAC)
Data masking and tokenization
Data classification and retention policies
Audit, monitoring, and compliance controls
Familiarity with regulatory and governance frameworks such as CCPA, HIPAA, SOX, and internal security standards.
Strong understanding of:
Data Lake, Lakehouse, and Data Warehouse architectures
Enterprise Integration Patterns
API-first architectures
Microservices and event-driven architectures
Real-time and batch data processing
Data Mesh and Data Fabric concepts
Experience documenting architecture artifacts, capability maps, application inventories, technology roadmaps, and reference architectures.
Experience in presenting complex solution to Architecture Review Board or similar and getting approved.
Experience in getting Architecture Alignment from various stake holder.
Have understanding of Organization wide data domain, data flow like. Customer, account, products, transactions etc and how to make meaningful outcome on data.
AI reference architectures and integration patterns, AI application design, AI security, governance, and responsible AI practices
