Элитная возможность попасть в одну из самых влиятельных компаний в сфере Data и AI с четко определенной ролью и топовым стеком технологий.
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Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Solutions Architect (Media, Entertainment and Agencies) (Data and AI): Leading technical strategy and designing production-grade solutions across data engineering, ML/AI, real-time analytics, and cloud-native data platforms with an accent on scalable distributed architectures and platform adoption. Focus on architecting lakehouse and streaming solutions, solving complex technical trade-offs, and building custom solutions for competitive customer engagements.
Location: London, United Kingdom
Company
Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.
What you will do
Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
Lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, real-time analytics, and cloud-native platforms.
Advise customer architects, engineering leads, and directors on technical strategy and platform adoption.
Demonstrate Databricks differentiation through custom-built solutions in competitive engagements.
Develop a technical specialisation in an area such as streaming, ML/AI, data governance, or migrations.
Coordinate DSAs, SSAs, and partners while providing structured feedback on customer requirements and competitive gaps.
Requirements
6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
Strong Python and SQL coding skills, including live coding, debugging, and solution building.
Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance.
Ability to lead whiteboarding sessions, design reviews, and trade-off analysis with senior technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to have
Databricks certifications in data engineering, ML, or the platform.
Experience with Snowflake, AWS native services, or Azure Synapse.
Background in a data/AI company or cloud provider.
Industry expertise in media, entertainment, or agencies.
Culture & Benefits
Comprehensive benefits and perks are offered according to the employee’s region.
Inclusive hiring practices and a diverse workplace are supported.
Hiring process
Recruiter screen and hiring manager screen.
Design and architecture interview followed by a live coding assessment.
Build, Demo, Pitch! presentation and reference check.
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