Senior Architect- DLP

Job description

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Senior Architect- DLP Position: Software Engineer Experience: 7- 10 Years Category: Software Development/ Engineering Shift: 10Am 7PM Main location: Chennai/ Bangalore/ Hyderabad/Pune Position ID: J0726-0343 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description: We are looking for an experienced Senior Architect- DLP to join our team. The ideal candidate should be passionate about coding and developing scalable and high-performance applications. You will work closely with our front-end developers, designers, and other members of the team to deliver quality solutions that meet the needs of our clients. #LI-MP14 **Your future duties and responsibilities** • Own solution and enterprise architecture direction across discovery, design, vendor evaluation, and implementation readiness of DLP solution. • Translate business, technical, security, compliance, operational, and integration requirements into fit for purpose architecture. • Develop and govern solution options, architecture principles, high level designs, low level designs, and technical design artifacts. • Define network architecture, integration points, data flows, policy enforcement logic, infrastructure standards, environment requirements, software installation approach, and configuration guidance. • Review vendor proposed solutions and provide architecture assessments, technical recommendations, risks, assumptions, and readiness findings. • Lead architecture reviews and support completion of required governance checkpoints. • Maintain architecture decision records, design traceability, review outcomes, technical risks, dependencies, and approval evidence. • Partner with engineering, security, operations, business, sourcing, and vendor teams to confirm technical feasibility and implementation readiness. • Support pilot, proof of concept, build, deployment, handover, and operational readiness planning from an architecture perspective. • Secure required architecture review board signoffs and ensure designs meet enterprise standards, security controls, compliance requirements, and operational needs. • Provide technical guidance to implementation teams and vendors during design elaboration, environment setup, installation, configuration, and readiness activities. Required qualifications to be successful in this role **Must-Have Skills:** • Extensive experience in enterprise, solution, security, and infrastructure architecture within large scale environments. • Strong knowledge of DLP, cybersecurity, enterprise integrations, and regulatory compliance requirements. • Proven expertise in architecture governance, vendor evaluation, solution design, and enterprise technology implementations. • Excellent stakeholder management, technical leadership, and communication skills. • Excellent communication, reporting, and organizational skills in complex enterprise environments. • Proven leadership, stakeholder management, risk mitigation, and executive communication skills. • Experience with agile development methodologies and DevOps practices • Excellent problem solving and analytical skills • Strong communication and collaboration skills **Good-to-Have Skills:** • Experience with cloud platforms such as GCP, AWS or Azure • Familiarity with machine learning and artificial intelligence technologies