[29754] - Data Architect - Databricks
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We are looking for a Data Architect to join our global CI&T team. In this strategic leadership role, you will shape and lead technology vision across large-scale programs and key client relationships. You’ll be responsible for designing modern, scalable, secure, and high-impact data architectures while enabling teams to implement those solutions with technical excellence and agility.
As a Data Architect, you will collaborate with stakeholders across product, strategy, data, and design, acting as a trusted advisor to executive-level client partners. You’ll foster a culture of engineering excellence, support pre-sales initiatives, and mentor senior technical leaders.
Main Responsibilities:
Define and lead end-to-end data architecture for complex ecosystems, balancing technical depth with business outcomes.
Translate business strategy into scalable technology solutions through discovery workshops, assessments, and roadmaps.
Act as technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.
Lead architectural design, technology selection, and proof-of-concepts for critical platforms and innovation programs.
Govern technical quality across delivery squads, driving adherence to security, performance, scalability, and privacy standards.
Support pre-sales, proposal development, RFPs, and technical visioning with account teams and clients.
Coach and mentor senior architects and technical leads, shaping technical career development paths.
Mandatory Skills:
Experience in data architecture and technical leadership, including strategic consulting and system design.
Strong technical breadth across data engineers, science and modelling.
Strong Databricks experience.
Proficiency in cloud platforms (AWS, Azure, GCP).
Solid understanding of non-functional requirements: performance, resilience, security, and scalability.
Advanced English (spoken and written), with strong communication across technical and non-technical audiences.
Nice to Have Skills:
Familiarity within consultancy
Knowledge of frameworks: Clean Architecture, Domain-Driven Design (DDD), TOGAF, SAFe.
Experience hiring, growing, and managing architect-level talent.
Public speaking or thought leadership in engineering/architecture forums.
Fluency in other languages (add other languages, e.g., Portuguese, Spanish).
This listing is from ats_lever. View original listing ↗