Sales and Delivery Architect, Director

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🗽 New York – Distant

🗽 New York – Remote

💵 $113 000 - $175 000 / an

⏰ Temps Plein

🔴 Expert

🤑 Commercial

👻 Score fantôme 26%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.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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dentsu Austria

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 1900

📣 Marketing

📱 Médias

🏢 Entreprise

Marketing • Media • Enterprise

dentsu Austria fait partie du groupe Dentsu et sert de partenaire de croissance et de transformation intégré pour les grandes organisations du monde entier. L'entreprise se concentre sur la poussée des frontières de la transformation des affaires et de la croissance durable, en fournissant des services de classe mondiale et des solutions intégrées. Dentsu Austria s'engage à innover et à créer des expériences qui enrichissent chaque entreprise, avec un fort accent sur la recherche, l'analyse et les tendances médiatiques. En s'appuyant sur leur réseau mondial d'innovateurs, ils s'efforcent de simplifier les complexités et de générer des résultats impactants pour les marques, les personnes et la société.

Description

• Take database implementation projects through the entire development life cycle • Lead solution architecture, solution design, development, testing, and deployment • Serve as technical subject matter expert for client solutions • Lead pre-sales technical engagements, workshops, architecture reviews, assessments, and proofs of concept • Develop business cases and proposal content quantifying data platform and Databricks initiative value • Build relationships with technical decision-makers and provide technical counsel • Contribute to RFP responses and competitive positioning • Own technical relationships with client data leadership and engineering teams • Deliver or lead complex Databricks-based data transformation programs • Collaborate with Solutions Architects to validate and refine technical designs • Make technical decisions on architecture, platform configuration, data modeling, and tooling • Design reusable Databricks implementations, reference architectures, and accelerators • Conduct architecture reviews, code reviews, and technical assessments • Surface data quality issues, integration risks, and scope or schedule impacts • Mentor and lead engineers and contribute to team capability development • Maintain Databricks expertise and advise clients on product roadmap and emerging capabilities • Evaluate adjacent data platform tooling, cloud platforms, orchestration, and consumption patterns • Contribute to certifications, thought leadership, knowledge management, playbooks, and best-practice guides • Lead technical discovery workshops with C-suite and director-level stakeholders • Explain complex architecture and data engineering decisions to non-technical audiences • Produce thought leadership and advisory content • Represent the firm in client forums, advisory boards, and steering committees • Use AI tools to accelerate delivery and documentation

🎯 Exigences

• 8+ years building data platform implementations on cloud data warehouses • At least 3 years of hands-on experience with Databricks • Experience with Databricks SQL, Python, DLT, Unity Catalog, or equivalent scope • Advanced SQL and Python; ability to code production-quality data pipelines without oversight • Deep experience with relational and lakehouse data modeling • Experience designing Customer 360 and conformed data models • Experience participating in and leading complex, multi-phase delivery programs • Exceptional client-facing communication skills with C-suite and technical audiences • Ability to build credibility and trust with technical and business stakeholders • Experience with data observability, pipeline automation, and formal change control in production environments • Regular use of AI coding assistants such as GitHub Copilot, Cursor, or Claude Code • Active use of AWS, GCP, or Azure and working knowledge of cloud data architecture • Databricks Certified Data Engineer (Professional level) or Databricks Solutions Architect Certification strongly preferred • Active Databricks thought leadership strongly preferred • Experience with Databricks AI capabilities, enterprise-scale governance and Unity Catalog, modern orchestration, pre-sales/discovery, adjacent platforms, and mentoring strongly preferred • Growth mindset, advisory orientation, collaborative leadership, bias toward clarity, and client advocacy

🏖️ Avantages

• Medical, vision, and dental insurance • Life insurance • Short-term and long-term disability insurance • 401k • Flexible paid time off • At least 15 paid holidays per year • Paid sick and safe leave • Paid parental leave • Employee leave benefits in accordance with applicable state and local laws