Our client, a multinational telecommunications technology company is seeking a highly skilled Software Architect that responsible to work closely with customers and internal stakeholders to define, design, and implement robust platform solutions for Data Management. This role requires deep expertise in data governance, management, and regulatory compliance frameworks such as USGCI, GDPR, HIPAA, and others. Responsibilities: •Customer Engagement & Solution Definition oCollaborate with customers to understand business needs and translate them into secure, scalable, and compliant data platform architectures. oLead technical workshops and architecture sessions with customer stakeholders. •Big Data Expertise: Demonstrated experience working with extremely large-scale datasets across enterprise-grade platforms. Proven ability to design, optimize, and govern data flows in high-volume environments. •Geospatial Data Proficiency: Hands-on experience with geospatial data models, indexing strategies, and spatial analytics. Familiarity with tools and frameworks for managing location-based datasets at scale. •Architectural Oversight vs. System Ownership: While operational control of big data systems may reside with specific teams or platforms, this role is responsible for establishing the overarching governance frameworks, compliance protocols, and architectural standards that safeguard data integrity and ensure alignment with regulatory requirements. •Architecture & Design oDefining end-to-end architecture for data management and security platforms, including data ingestion, storage, processing, access control, and auditing. oDesign solutions that ensure compliance with global data protection regulations (e.g., GDPR, HIPAA, USGCI). oDevelop reference architecture, blueprints, and best practices. •Security & Compliance oIntegrate security-by-design principles into all platform components. oEnsure data encryption, identity and access management (IAM), and secure data lifecycle practices are in place. oConduct risk assessments and compliance gap analyses. •Collaboration & Leadership oWork with cross-functional teams including engineering, DevOps, legal, and compliance. oCollaborates with system owners and engineering leads to ensure consistent data standards, lineage tracking, and metadata management across distributed platforms. oMentor and guide development teams on secure coding and data handling practices. oStay current with emerging technologies and regulatory changes. •Scalable Design Thinking: Applies architectural principles that support scalability, performance, and resilience in data ecosystems handling petabyte-scale workloads. If you would like to learn more, please reach out to Elite technical.