Senior Platform Architect overseeing the end-to-end architecture for RTV's next generation Venn platform. Involves collaboration with engineering, data, and product teams to establish a future-proof architecture.
Responsibilities
Own the target architecture for Venn end-to-end: applications, data, services, APIs, cloud infrastructure, security, and integration layers.
Establish architectural principles, standards, and a decision-making framework (including an ADR repository) for engineering and data teams.
Design the data architecture: data warehouse modernization, data models, lineage, metadata frameworks, and automated cleaning workflows.
Architect modular, reusable platform services and API standards that support multi-country and multi-tenant requirements, including offline and low-connectivity constraints in rural contexts.
Design cloud-native infrastructure across distributed, scalable, multi-environment workloads, with governance, resilience, and security built in from the start.
Define the security architecture: identity, access control, encryption, and compliance.
Translate architecture into sequenced implementation plans in partnership with engineering, MEL, and product teams.
Lead structured knowledge transfer to ensure long-term sustainability after the engagement closes.
Requirements
10+ years of progressive experience in platform, cloud, solution, or enterprise architecture roles, including ownership of large scale, business critical systems
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical discipline. Equivalent combination of education and extensive architecture experience will also be considered.
Deep expertise in cloud-native architecture (Azure, AWS, or GCP)
Strong background in data architecture, including data modeling, metadata frameworks, and modern Lakehouse environments
Demonstrated experience with multi-tenant or multi-environment architectures
Proven ability to design modular platform services, APIs, and integration patterns
Strong understanding of security architecture, IAM, and compliance
Familiarity with mobile data collection tools used in low-connectivity or field contexts
Track record of knowledge transfer to in-house engineering teams
Experience with metadata‑driven design, canonical data models, or semantic layers (preferred)
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