Solution Architect - Data & AI

Job responsibilities

• 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.
• 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.

Technical Skills

• 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.
• You have experience defining, developing and enabling data-driven techniques, advanced analytics and ML/AI applications in the enterprise, including a view on productionizing machine learning.
• You have experience in building high-level solution frameworks, leveraging paradigms such as data-as-a-product and federated governance where needed.

Consulting and commercial track record

Professional Skills

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
• Cultivating strong partnerships comes naturally to you; you understand how relationship building brings new opportunities to our business.
• You have professional working proficiency in German (B2 minimum, C1 strongly preferred) and can build consensus with mostly technical stakeholders. Exceptional candidates with outstanding data and AI consulting credentials may be considered where German is not yet at this level.

Learning & Development

Responsible Use of AI in Recruitment

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