[Job-32426] Data Architect (Databricks), Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-10-29). Last seen at its source 1h ago.
We have tracked this listing since 29 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $80k–150k/yr
Middle 50% of 41 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Lever employer's own board first seen 4d ago · last seen 1h ago
The listing
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 with strong AWS expertise to drive the strategy, development, and execution of our enterprise data platforms and analytics products. In this role, you will bridge the gap between business stakeholders, data engineers, and data science teams to transform raw data assets into scalable, high-value data products. You will leverage cloud-native AWS services to manage the product lifecycle from discovery to rollout, ensuring high data quality, governance, and business impact.
Responsibilities:
- Product Strategy & Roadmap: Define the vision, roadmap, and KPIs for data products (data pipelines, data lakes, analytics dashboards, and AI/ML data features) on AWS.
- Stakeholder Alignment & Discovery: Work with business leaders, domain experts, and engineering teams to identify high-impact use cases, translate business requirements into technical epics, and prioritize the backlogs.
- AWS Data Ecosystem Management: Oversee product architecture alignment on AWS data services (e.g., S3, Glue, Redshift, Athena, Bedrock/SageMaker) to support scalable analytics and GenAI workloads.
- Data Governance & Quality: Partner with Security and Data Governance teams to enforce data access controls, privacy regulations (LGPD/GDPR/HIPAA), data lineage, and data quality standards.
- Execution & Product Delivery: Lead agile development cycles, defining clear acceptance criteria, managing user stories, and ensuring timely delivery of data solutions.
- Adoption & Value Measurement: Track usage metrics, adoption rates, and ROI of data products to continuously optimize user engagement and business value.
Requirements:
- Experience specifically managing data platforms, ETL pipelines, or analytics products.
- AWS Technical Literacy: Solid understanding of the AWS data stack (S3, Redshift, Glue, EMR, Athena, QuickSight, IAM) and cloud-native data architecture patterns (Data Lake, Lakehouse, Data Mesh).
- Agile & Delivery: Strong experience leading cross-functional squads using Scrum/Kanban, backlog management tools (Jira, Linear), and defining clear user stories.
- Data Skills: Proficiency in SQL and data visualization tools, with the ability to query data directly to validate product performance and metrics.
- Business Acumen: Demonstrated track record of converting complex technical requirements into actionable business outcomes and executive-ready communications.
- Databricks Certified Consultant (Associate/Professional); DBR to EMR on AWS migration experience
-
AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner
-
Certified Scrum Product Owner (CSPO) or Pragmatic Institute Certification