The Pega Senior System Architect (SSA) is responsible for designing, developing, and implementing Pega-based applications in alignment with business requirements and Pega best practices.
Compensation
Rate $62-$70 (depending on years of experience (Minimum 8+ required)
Responsibilities
Design, develop, and implement Pega-based applications
A project leadership role focused on Pega ERP projects, responsible for scope definition, resource allocation, and leading development teams within Agile environments.
Responsibilities
Define project objectives and scope in alignment with business goals
Coordinate sprint planning and meetings with technical teams and stakeholders
Evaluate project deliverables and drive initiatives to adopt new methodologies
Identify and mitigate risks proactively while working with quality assurance
Develop project estimates, monitor budget, and optimize resource allocation
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
Nice to have: Integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud
Nice to have: Knowledge of Marketing Cloud Journeys, Contact Builder, and activation flows
Nice to have: Exposure to Salesforce Personalization, Agentforce, and Einstein AI
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud
Lead design, build, and deployment of Salesforce Data Cloud (Data 360) solutions, govern data ingestion, modeling, and integration across enterprise systems.
Responsibilities
Oversee end-to-end Data 360 delivery
Own solution design reviews
Prepare data modeling, DMOs, and relationship design
Act as primary technical and delivery point of contact
Ensure best practices for scalability, performance, and data governance
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud
Nice to have: Knowledge of Marketing Cloud Journeys, Contact Builder, and activation flows
Nice to have: Exposure to Salesforce Personalization, Agentforce, and Einstein AI
As a Salesforce Data 360 Engineer, you will be a hands-on technical leader driving the delivery of Salesforce Data Cloud solutions across programs and teams. You will support team leads and developers, ensure high-quality and scalable implementations, and act as the primary technical and delivery point of contact.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud
Package Project Lead 2 - PegaInfosys · Irving, US