Solution Architect - Data & AI

About this role

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Skills you'll use

What you'll do

• You will provide client-facing technical leadership and guidance on data architecture, engineering and analytics to advise clients on bringing their data strategy to life.
• You will collaborate with sales and pre-sales to clarify requirements, design viable solutions and drive complex pursuits with technical and executive stakeholders.
• You will lead complex data programs, navigating architectural concerns and enabling delivery teams to deliver on accepted standards within time and budget.
• You will interact with client counterparts from the enterprise architecture group and lead the delivery, alignment and sign-off of key architectural decisions, trade-offs and ways of working.
• You will communicate both high- and low-level technical details of data architecture to engineers and business stakeholders, including C-level.
• You will collaborate, influence and guide at the intersection of analytical and operational architecture.
• You will be responsible for the technical design of data governance, data security and data privacy to fulfill compliance requirements, and incorporate data quality frameworks and processes.
• You will create differentiated assets in data architecture and strategy to take to market.

Who can apply

• You lead through influence rather than headcount: growing capability and raising delivery standards inside the organisation, while building our presence in the market through thought leadership, ecosystem initiatives and client-facing points of view.
• You will understand the client's business problem and create data oriented solutions. You would be presenting the solution to Thoughtworks leaders and client stakeholders.
• You would utilize AI tools (like Claude, Copilot) to fast track understanding client requirements, solution preparation, estimation, and other pre-sales and solutioning activities.
• You have experience defining and implementing different types of data architecture, analyzing trade-offs and defining technology stacks for each.
• You have experience designing application system architecture based on big data, artificial intelligence and related technologies.
• You have rich experience in building, maintaining and tuning data platforms, as well as data warehouse design, data modeling, data monitoring and operations.
• You have experience with common design patterns, application frameworks and foundational knowledge (for example distributed systems and data-intensive applications).
• You are conversant in common open-source distributed computing and storage technologies (for example Spark, Kafka, Flink) and can reason clearly about their trade-offs. Deep day-to-day coding in these is welcome but not essential for this strategy-leaning role, provided you stay hands-on in at least one or two relevant technologies.

About Thoughtworks

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