Data Solutions Architect

We are seeking Data Solutions Architects to design and deliver data-driven platforms from discovery through go-live. You will partner with stakeholders, shape architecture decisions, guide delivery teams and support pre-sales when needed. You will work across areas like data platforms, streaming, integration, governance and cloud services, backed by an active architecture community.

Responsibilities

Design and evolve large-scale data and analytics solutions aligned to business outcomes Partner with business stakeholders to clarify requirements, priorities and constraints Define architecture decisions, document trade-offs and guide implementation teams Lead delivery from requirements through go-live including quality attributes and non-functional needs Create and present architecture documentation for stakeholder and delivery alignment Support pre-sales activities including discovery, solutioning and technical assessments Evaluate existing architectures, identify gaps and recommend pragmatic improvements Share knowledge through proofs of concept, internal learning and architecture community activities Requirements Requirements engineering capability to translate needs into architecture and delivery plan Solution architecture background across design, deployment, maintenance and modernization Architecture patterns knowledge across multiple domains such as data platforms, machine learning, Internet of Things (IoT), Back-end or mobile Deep technical expertise in at least one domain including core internals and operational considerations Data and analytics architecture understanding including warehousing, business intelligence, integration, security, governance and operations Distributed systems experience across on-premises and cloud environments including troubleshooting and replatforming Architecture process knowledge including quality attributes, technology selection, estimation and documentation Clear communication in English with the ability to present to technical and non-technical audiences Nice to have Pre-sales experience including solution assessments and proposal support Streaming and event-driven architecture exposure Machine learning operations (MLOps) or data platform operations experience