Quantum Integrators
Raritan, New Jersey
Job Description Position - SAP S/4HANA BTP Security Consultant Location - Raritan, NJ Duration - Long Term Job Description We are looking for an experienced SAP Security professional with strong expertise in S/4HANA authorization concepts and SAP Business Technology Platform (BTP) security. The ideal candidate will design, implement, and manage end-to-end security solutions across on-premise and cloud SAP landscapes, ensuring compliance, segregation of duties (SoD), and robust access governance. Required Skills & Experience 8-12 years of overall SAP Security experience, with at least 3-4 years focused on S/4HANA and BTP security. Strong hands-on experience with SAP S/4HANA authorization concepts (roles, profiles, PFCG, composite/single roles). Experience with SAP BTP security administration - subaccounts, role collections, trust management, IAS/IPS. Working knowledge of SAP Fiori security (catalogs, groups, tiles, OData authorizations). Experience with SAP GRC Access Control (Access Risk Analysis, ARQ, EAM, BRM) is highly preferred. Understanding of SAML 2.0, OAuth 2.0, X.509 certificates, and SSO configurations. Exposure to SAP Cloud Identity Services and integration with third-party IdPs (Azure AD, Okta, etc.). Experience with S/4HANA implementation or migration projects (greenfield/brownfield). Familiarity with SAP Integration Suite, SAP Build Apps/Process Automation security is a plus. Knowledge of compliance frameworks (SOX, GDPR, ISO 27001) and audit processes. Strong analytical, troubleshooting, and communication skills. SAP Security certification (S/4HANA or BTP) is preferred.
Job Description Position - SAP S/4HANA BTP Security Consultant Location - Raritan, NJ Duration - Long Term Job Description We are looking for an experienced SAP Security professional with strong expertise in S/4HANA authorization concepts and SAP Business Technology Platform (BTP) security. The ideal candidate will design, implement, and manage end-to-end security solutions across on-premise and cloud SAP landscapes, ensuring compliance, segregation of duties (SoD), and robust access governance. Required Skills & Experience 8-12 years of overall SAP Security experience, with at least 3-4 years focused on S/4HANA and BTP security. Strong hands-on experience with SAP S/4HANA authorization concepts (roles, profiles, PFCG, composite/single roles). Experience with SAP BTP security administration - subaccounts, role collections, trust management, IAS/IPS. Working knowledge of SAP Fiori security (catalogs, groups, tiles, OData authorizations). Experience with SAP GRC Access Control (Access Risk Analysis, ARQ, EAM, BRM) is highly preferred. Understanding of SAML 2.0, OAuth 2.0, X.509 certificates, and SSO configurations. Exposure to SAP Cloud Identity Services and integration with third-party IdPs (Azure AD, Okta, etc.). Experience with S/4HANA implementation or migration projects (greenfield/brownfield). Familiarity with SAP Integration Suite, SAP Build Apps/Process Automation security is a plus. Knowledge of compliance frameworks (SOX, GDPR, ISO 27001) and audit processes. Strong analytical, troubleshooting, and communication skills. SAP Security certification (S/4HANA or BTP) is preferred.
Quantum Integrators
Durham, North Carolina
Job Description Job title: GCP Architect Location: Durham, North Carolina - Onsite Full-time position Position Overview We are looking for an experienced GCP Architect to design and deliver scalable, secure, and reliable cloud solutions on Google Cloud Platform. The candidate will work closely with business, data, engineering, and R&D teams to develop cloud and data solutions supporting Life Sciences business and R&D initiatives. The ideal candidate should have strong GCP architecture experience, a solid understanding of data engineering platforms, and experience working with Life Sciences data services and solutions, particularly in an R&D environment. Key Responsibilities •Design and implement scalable and secure Google Cloud Platform (GCP) architectures. •Develop cloud solution architectures aligned with business, technical, security, and compliance requirements. •Partner with data engineering, application, infrastructure, security, and R&D teams to deliver cloud-based solutions. •Design and implement GCP data and analytics solutions supporting Life Sciences R&D use cases. •Define cloud architecture standards, technology patterns, and best practices. •Provide technical leadership for GCP migration, modernization, integration, and transformation initiatives. •Evaluate GCP services and recommend appropriate solutions based on business and technical requirements. •Design solutions involving data ingestion, processing, storage, analytics, and integration. •Ensure solutions meet enterprise security, scalability, availability, performance, and governance requirements. •Collaborate with stakeholders to translate business requirements into technical architecture and implementation plans. •Provide technical guidance to development and engineering teams throughout the solution lifecycle. •Support architecture reviews, technical assessments, solution documentation, and design governance. Required Qualifications •6-8 years of relevant IT/cloud architecture experience. •Strong hands-on experience with Google Cloud Platform (GCP). •GCP Solution Architect certification is mandatory. •Strong understanding of cloud architecture principles, security, networking, IAM, compute, storage, and managed GCP services. •Experience designing enterprise-scale cloud solutions. •Strong understanding of data platforms and data engineering concepts. •Experience with GCP data services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, or equivalent technologies. •Strong communication and stakeholder-management skills. •Ability to work effectively with distributed technical and business teams. •Willingness and ability to work onsite in Durham, NC. Preferred Qualifications •Experience in the Life Sciences / Pharmaceutical / Biotechnology industry. •Experience delivering data services and solutions for R&D organizations. •Data Engineering experience. •Experience with enterprise data platforms, data pipelines, analytics, and data integration. •Experience with Infrastructure as Code, preferably Terraform. •Knowledge of cloud security, governance, compliance, and enterprise architecture practices. •Experience working with large-scale data and analytics environments. Preferred Technical Skills Cloud: Google Cloud Platform (GCP), GKE, Compute Engine, Cloud Storage, Cloud Run Data & Analytics: BigQuery, Dataflow, Dataproc, Pub/Sub, data pipelines, data integration, analytics platforms Security & Governance: Cloud IAM, VPC, networking, security, governance, compliance Infrastructure & Automation: Terraform, Infrastructure as Code, CI/CD Industry: Life Sciences, Pharmaceutical, Biotechnology, R&D Data Services Candidate Profile The preferred candidate will combine: GCP Architecture + GCP Certification + Data Engineering + Life Sciences + R&D Data Services Candidates with strong GCP architecture experience but without the required GCP certification or relevant Life Sciences/R&D exposure may not meet the complete requirement. Work Arrangement Onsite - Durham, North Carolina Employment Details Certification: GCP Solution Architect certification - Mandatory Industry: Life Sciences - Preferred/Relevant experience required Data Engineering: Preferred
Job Description Job title: GCP Architect Location: Durham, North Carolina - Onsite Full-time position Position Overview We are looking for an experienced GCP Architect to design and deliver scalable, secure, and reliable cloud solutions on Google Cloud Platform. The candidate will work closely with business, data, engineering, and R&D teams to develop cloud and data solutions supporting Life Sciences business and R&D initiatives. The ideal candidate should have strong GCP architecture experience, a solid understanding of data engineering platforms, and experience working with Life Sciences data services and solutions, particularly in an R&D environment. Key Responsibilities •Design and implement scalable and secure Google Cloud Platform (GCP) architectures. •Develop cloud solution architectures aligned with business, technical, security, and compliance requirements. •Partner with data engineering, application, infrastructure, security, and R&D teams to deliver cloud-based solutions. •Design and implement GCP data and analytics solutions supporting Life Sciences R&D use cases. •Define cloud architecture standards, technology patterns, and best practices. •Provide technical leadership for GCP migration, modernization, integration, and transformation initiatives. •Evaluate GCP services and recommend appropriate solutions based on business and technical requirements. •Design solutions involving data ingestion, processing, storage, analytics, and integration. •Ensure solutions meet enterprise security, scalability, availability, performance, and governance requirements. •Collaborate with stakeholders to translate business requirements into technical architecture and implementation plans. •Provide technical guidance to development and engineering teams throughout the solution lifecycle. •Support architecture reviews, technical assessments, solution documentation, and design governance. Required Qualifications •6-8 years of relevant IT/cloud architecture experience. •Strong hands-on experience with Google Cloud Platform (GCP). •GCP Solution Architect certification is mandatory. •Strong understanding of cloud architecture principles, security, networking, IAM, compute, storage, and managed GCP services. •Experience designing enterprise-scale cloud solutions. •Strong understanding of data platforms and data engineering concepts. •Experience with GCP data services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, or equivalent technologies. •Strong communication and stakeholder-management skills. •Ability to work effectively with distributed technical and business teams. •Willingness and ability to work onsite in Durham, NC. Preferred Qualifications •Experience in the Life Sciences / Pharmaceutical / Biotechnology industry. •Experience delivering data services and solutions for R&D organizations. •Data Engineering experience. •Experience with enterprise data platforms, data pipelines, analytics, and data integration. •Experience with Infrastructure as Code, preferably Terraform. •Knowledge of cloud security, governance, compliance, and enterprise architecture practices. •Experience working with large-scale data and analytics environments. Preferred Technical Skills Cloud: Google Cloud Platform (GCP), GKE, Compute Engine, Cloud Storage, Cloud Run Data & Analytics: BigQuery, Dataflow, Dataproc, Pub/Sub, data pipelines, data integration, analytics platforms Security & Governance: Cloud IAM, VPC, networking, security, governance, compliance Infrastructure & Automation: Terraform, Infrastructure as Code, CI/CD Industry: Life Sciences, Pharmaceutical, Biotechnology, R&D Data Services Candidate Profile The preferred candidate will combine: GCP Architecture + GCP Certification + Data Engineering + Life Sciences + R&D Data Services Candidates with strong GCP architecture experience but without the required GCP certification or relevant Life Sciences/R&D exposure may not meet the complete requirement. Work Arrangement Onsite - Durham, North Carolina Employment Details Certification: GCP Solution Architect certification - Mandatory Industry: Life Sciences - Preferred/Relevant experience required Data Engineering: Preferred