Solution Architect- Data & Analytics

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We're looking for a Solution Architect to design modern data platforms and act as a trusted technical advisor to our clients. The role is split evenly between hands-on delivery on client projects and presales work — shaping solutions, scoping offers, and helping win new business in the Data, Analytics, and AI space.

• Design end-to-end Data & Analytics architectures aligned with client business objectives and technology strategies.
• Lead solution discovery workshops and architecture sessions with client stakeholders.
• Translate business requirements into scalable, secure, and high-performing technical solutions.
• Architect modern cloud-based data platforms, analytical ecosystems, and AI-enabled solutions.
• Define architecture blueprints covering data ingestion, transformation, storage, governance, security, analytics, and reporting.
• Act as a trusted technical advisor to clients by providing guidance on best practices, emerging technologies, and architecture decisions.
• Collaborate with Data Engineers, Analytics Engineers, Data Scientists, Consultants, and business stakeholders throughout the project lifecycle.
• Provide technical leadership and direction to delivery teams during implementation.
• Support project delivery by resolving complex technical challenges and ensuring architectural consistency.
• Establish and promote standards, best practices, reusable assets, and reference architectures.
• Design and recommend modern architecture patterns including lakehouse, data mesh, and cloud-native approaches.
• Participate in presales engagements, including solution scoping, effort estimation, and technical proposal creation.
• Support RFI and RFP responses with architecture design, technical recommendations, and delivery approaches.
• Present proposed solutions to technical and business audiences ranging from project teams to executive stakeholders.
• Contribute to capability development, mentoring initiatives, knowledge-sharing activities, and Competency Center growth.

• 50% — client delivery on Data & Analytics and AI projects
• 50% — presales: solution design, scoping, and preparing offers/proposal.

• Strategic thinker with hands-on execution capability.
• Agile, resilient, and able to thrive in a fast-paced, matrixed environment.
• Passion for technology, innovation, and driving measurable business outcomes.