Integration Consultant
Job Description
Must Have Technical/Functional Skills
AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
RDBMS: SQL, Oracle, DB2, RDS, etc.
Roles & Responsibilities
Integration Standards & Governance
Define and maintain enterprise standards for API design, event schemas, messaging patterns, and integration of contracts.
Establish integration governance across AWS, Azure, MS Fabric, and on prem systems.
Define patterns for ADS (Authorized Data Sources) alignment, data contracts, schema evolution, and anchor key management.
Enforce adherence to enterprise security principles including OAuth2/OIDC, JWT, TLS, Zero Trust patterns.
Blueprints & Reference Architecture
Build and maintain unified enterprise integration architecture blueprints spanning cloud, Fabric, and on prem connectivity.
Create domain specific and cross domain integration flow maps, canonical API patterns, and event driven reference architectures.
Align AWS, Azure, MS Fabric, and on prem patterns under Prudential's Unified Architecture. Reusable Patterns & Engineering Enablement
Develop reusable integration patterns for:
AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
o On prem: MFT, MQ, legacy services.
Provide templates for API contracts, event schemas, integration error handling , observability hooks, and resiliency patterns.
Metadata, ADS, & Anchor Key Integration
Define integration patterns incorporating ADS rules, domain ownership , and anchor key management for interoperability.
Ensure all integration patterns embed security, observability, lineage awareness, and operational resiliency.
Collaborate with data governance to ensure consistent entity resolution and cross domain identifier mapping.
Domain Engagement & Architecture Review
Guide domain teams in implementing target state integration architectures.
Lead or participate in architecture reviews for API designs, event models, platform integrations, and connectivity.
Recommend modernization opportunities to retire from legacy integration mechanisms and adopt event driven/API first models.
Must Have Technical/Functional Skills
AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
RDBMS: SQL, Oracle, DB2, RDS, etc.
Roles & Responsibilities
Integration Standards & Governance
Define and maintain enterprise standards for API design, event schemas, messaging patterns, and integration of contracts.
Establish integration governance across AWS, Azure, MS Fabric, and on prem systems.
Define patterns for ADS (Authorized Data Sources) alignment, data contracts, schema evolution, and anchor key management.
Enforce adherence to enterprise security principles including OAuth2/OIDC, JWT, TLS, Zero Trust patterns.
Blueprints & Reference Architecture
Build and maintain unified enterprise integration architecture blueprints spanning cloud, Fabric, and on prem connectivity.
Create domain specific and cross domain integration flow maps, canonical API patterns, and event driven reference architectures.
Align AWS, Azure, MS Fabric, and on prem patterns under Prudential's Unified Architecture. Reusable Patterns & Engineering Enablement
Develop reusable integration patterns for:
AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
o On prem: MFT, MQ, legacy services.
Provide templates for API contracts, event schemas, integration error handling , observability hooks, and resiliency patterns.
Metadata, ADS, & Anchor Key Integration
Define integration patterns incorporating ADS rules, domain ownership , and anchor key management for interoperability.
Ensure all integration patterns embed security, observability, lineage awareness, and operational resiliency.
Collaborate with data governance to ensure consistent entity resolution and cross domain identifier mapping.
Domain Engagement & Architecture Review
Guide domain teams in implementing target state integration architectures.
Lead or participate in architecture reviews for API designs, event models, platform integrations, and connectivity.
Recommend modernization opportunities to retire from legacy integration mechanisms and adopt event driven/API first models.
