Solution Architect: ServiceNow HR Service Delivery - Product Engineering

About This Role

As a ServiceNow HRSD Solution Architect, you will lead the implementation and optimization of Human Resource Service Delivery solutions, focusing on HR workflows, case management, and employee service centers. This role involves designing, configuring, and deploying high-quality solutions to meet client needs and drive value for Deloitte's business investments. You will also serve as a mentor and collaborate with cross-functional teams to ensure successful integration of ServiceNow solutions.

Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes, developing solutions that solve complex HR problems with valuable outcomes
• Serve as the technical advocate for ServiceNow HRSD solutions, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards
• Be responsible for solution architecture blueprints, high-level architecture designs, and integration architecture into the technical landscape and technology stack
• Act as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design as well as configuration part of the time
• Engage with engineers to ensure architecture is understood and can be implemented, helping resolve any technical issues through to production operations
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs and deliver the right architectural solution
• Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions
• Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security
• Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment
• Quickly acquire domain-specific knowledge relevant to the business or implemented ServiceNow modules, translating business/user needs and UX/UI designs into technical requirements

Requirements

• A bachelor's degree in computer science, software engineering, or a related discipline
• Excellent software engineering and product architecture/design foundation with deep understanding of BCD, sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations
• 10+ years proven experience with ServiceNow, specifically in implementing and optimizing the HRSD module
• ServiceNow Certification Implementation Specialist - HRSD
• ServiceNow Certified System Administrator
• Expert knowledge in HR processes and best practices
• Expert knowledge in designing HRSD workflows, case management, employee service centers
• Expert knowledge in integration techniques and tools (e.g., REST, SOAP, LDAP, SSO)
• Expert knowledge in integration with SAP SuccessFactors and ServiceNow integration Hub
• Expert knowledge in setting up Data Replication, and/or Data Lake for ServiceNow using ETL tools like SNOW Mirror/Perspectium, and MID Server Architecture
• Proficiency in data modeling/migration/integration, data privacy and security regulations, Common Service Data Model (CSDM)
• Proficiency in SQL stored procedures and indexing, performance analytics, and designing dashboards and reports
• In-depth knowledge of performance tuning in ServiceNow, ability to troubleshoot and identify bottlenecks, establish RCA for system performance issues
• Experience in using Health Scan Data and Instance Observer to improve overall system performance
• Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube

Qualifications

• A bachelor's degree in computer science, software engineering, or a related discipline
• 10+ years proven experience with ServiceNow, specifically in implementing and optimizing the HRSD module.

Nice to Have

• An advanced degree (e.g., MS)
• Experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP
• 3+ years of experience with AI/ML and GenAI

Skills

* Required skills

Certifications