Pega System Architect
22 hours ago
Job Details
- Experience in Pega installation
- Pega LSA Certified
- Must be CLSA certified on 8.x, preferred Infinity version
- Overall Pega exp should be greater than 10+ yrs.
- Knowledge on Pega installation (Version 24.2)
- Must be able to understand and breakdown the user stories into tasks
- Should be able to support and guide the team.
- Should have hands-on to execute the tasks individually.
- Should be able to update the daily report to leadership/ clients
- Must be able to prioritize the tasks based on urgency and need.
- Should be able to create and own High-Level design (HLD) and Low-Level design (LLD).
- Should be able to govern and manage the confluence/SharePoint
- Must be able to manage the deliverables and work in the absence of team member
- Must be aware of all Pega best practices and guardrails.
- Must have good analytical and communication skills.
- Excellent knowledge in SDLC, agile and other implementation methodologies.
- Pega implementation methodology knowledge.
- Must be knowledgeable on ECS, Situational Layer Cake and Case Management
- Able to execute the Architectural Design and implementation
- Should be able to support CoE activities
- Should be able to support estimates for RFP's / RFI's.
- Able to mentor junior members/ Team leads in the team and help them technically.
- Experience in developing and managing Workflows, User Interfaces, Activities, Utility and Decision Rules.
- Must have SQL knowledge to execute DDL (preferred), DML and DQL
- Experience in various types of rules like Correspondence rules, Integration rules like traditional and DX-APIs, Validation Rules.
- Excellent knowledge on using debugging like Clipboard, Tracer, Rules Inspector, performance tools, PDC, and AES.
- Must be experienced on PRPC reporting tools.
- Must have experience having external integrations.
- Must have knowledge on Constellations
- Must have knowledge on Agents and Job Schedulers
- Must have knowledge on Channels implementation.
- Must have knowledge on skin rules implementation.
- Must have knowledge on Kafka, Kubernetes and Cloud technologies
- Must have knowledge on Blueprint, Gen-AI, Knowledge Buddy integrations.
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