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