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Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (Data & AI) (Enterprise Data, AI, and Databricks): Leading complex customer engagements and designing enterprise data and AI solutions with an accent on distributed systems, real-time architectures, lakehouse patterns, and platform adoption. Focus on influencing executive stakeholders, orchestrating cross-functional delivery, driving competitive displacements, and solving large-scale architecture challenges.
Location: Remote in the United Kingdom; Leeds or Manchester
Company
A data and AI platform company serving more than 20,000 organizations worldwide with solutions for analytics, data applications, AI agents, lakehouse architecture, and governance.
What you will do
- Drive technical and consumption strategies for complex enterprise customer engagements.
- Own senior technical relationships and advise executives on long-term data and AI strategy.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Develop competitive strategies and lead platform evaluations and displacements.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Mentor junior solutions architects and contribute to customer-facing thought leadership, workshops, and community content.
Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; Spark or PySpark experience is preferred for the role.
- Deep expertise in enterprise data architecture, distributed systems, streaming and real-time systems, lakehouse patterns, data governance, and cloud-native platforms.
- Expert-level knowledge of the Databricks Platform or equivalent expertise with competing platforms.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience.
Nice to have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another leading data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
- Retail or Consumer Packaged Goods experience with executive-level domain credibility.
Culture & Benefits
- Remote contract arrangement within the United Kingdom.
- Comprehensive regional benefits and employee perks.
- Inclusive hiring practices and a focus on diversity and equal employment opportunity.
- Collaboration with a global organization operating across more than 30 offices.
Hiring process
- Recruiter screen followed by a hiring manager screen.
- Design and architecture interview, live coding assessment, and build, demo, and pitch presentation.
- Reference check.
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