Solution Architect

Emploi pas sur LinkedIn

🕒 il y a 8 jours

🇬🇧 Royaume-Uni – Télétravail

💵 £80 000 - £110 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

Cette entreprise a parrainé des visas de Travailleur Qualifié du Royaume-Uni par le passé.

👻 Score fantôme 4%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Advancing Analytics

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2018

💼 Conseil

📣 Marketing

🤖 Intelligence artificielle

Consulting • Marketing • Artificial Intelligence

Advancing Analytics est un cabinet de conseil en Big Data et IA qui aide les organisations à transformer les données en informations exploitables. L'entreprise se spécialise dans les technologies Microsoft Data & AI et Databricks, faisant progresser l'architecture Lakehouse et mêlant les analyses traditionnelles à l'apprentissage automatique et à l'IA. Ils fournissent des services dans les domaines de l'ingénierie des données, de l'analytique, de la stratégie et de la mise en œuvre des systèmes, opérant principalement en télétravail en tant que cabinet de conseil B2B composé d'experts certifiés.

Description

• Own the technical win across the sales pipeline • Work with Sales, Senior Leadership, and Delivery Leads to turn opportunities into signed work • Qualify opportunities, shape solutions, build demos, and present them to clients • Guide clients from initial technical conversations to signed Statements of Work as the trusted Databricks expert • Design and document end-to-end data and AI solutions using Azure, Databricks, and related services • Translate business and technical requirements into architecture designs for delivery teams • Apply standards, patterns, and reference architectures • Identify technical risks, record them in project risk registers, and lead mitigation and resolution • Produce design artefacts and present them at architectural forums to engineering teams and senior executives • Shape intelligent data platform projects using Lakehouse architectures for reporting, AI, and analytics • Run discovery workshops with data, analytics, and platform teams • Capture requirements, current state, workloads, governance constraints, and target outcomes • Own technical content for RFP/RFI responses, proposals, architecture diagrams, and Statements of Work • Own technical scope, effort, and delivery risk for opportunities • Run technical pitches, demos, and handle technical and business-value questions • Collaborate with Databricks field teams on joint pursuits and co-selling • Build client relationships and act as a trusted technical advisor • Translate complex technical concepts into clear business outcomes • Hand won opportunities to delivery with complete designs, including scope, assumptions, risks, and estimates

🎯 Exigences

• Proven experience in technical pre-sales and designing cloud data architectures • Hands-on consulting experience with Azure and Databricks • Working knowledge of data engineering, ML/AI engineering, data governance, and platform design • Experience designing and presenting scalable, secure, and cost-effective solutions using established patterns and standards • Track record running discovery, demos, POCs, and RFP responses for complex data and AI deals • Commercial awareness and experience shaping Statements of Work, T-shirt-size estimates, total cost of ownership, and time-to-value assessments • Strong communication and presentation skills with technical and non-technical stakeholders up to C-level • Experience running demos, technical pitches, client workshops, and negotiations • Ability to influence technical and business stakeholders without relying solely on formal authority • Previous consulting experience is required • Databricks Professional certification is required, or equivalent knowledge demonstrated through real project experience • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert are a strong plus

🏖️ Avantages

• Industry matching • Maternity & Paternity policy • Private Medical & Dental Care • Eye care scheme • Health & Well-being fund • 25 Days Annual Leave • Birthday Leave • Charity Leave • Away days with the team • Flexible Working Hours • Electric Car Scheme • Databricks Champion Status Bonus • Professional development and learning opportunities • Support for community involvement, speaking, blogging, and advocacy initiatives

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