[Job-32426] Data Architect (Databricks), Brazil

Ciandt · Remote · Brazil only

Brazil only30+ years requiredPublished 29 October 2026Looks fresh

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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
30+ years required
Where you can live
Brazil only
Skills and tools
sql, python, java, aws, agile, documentation
Degree or licence
Mentioned (certified)

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Job details

Where you can work
Brazil
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
30+ years required
Employer publication date
29 October 2026
First recorded by Psst
2 November 2026
Last checked at the source
3 November 2026

About the job

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.

As CI&T grows, we seek a talented, motivated, and experienced Data Developer to join our team and build robust data-driven solutions for our customers. This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive.

The Data Developer will be responsible for implementing and optimizing data architectures, ensuring data quality and reliability, and collaborating closely with analytics and business teams to deliver high-performance data solutions. This position requires strong technical expertise in data engineering, cloud platforms, and modern data stack technologies, combined with the ability to translate business requirements into effective technical solutions.

Responsibilities

Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.

Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy and modernization.

Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.

Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.

Collaboration: Work closely with Data & Analytics Managers and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.

Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.

Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.

Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.

Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.

Requirements

Hands-on Databricks migration with the databricks/migrate tool (notebooks,

jobs, clusters, secrets, ACLs), Unity catalog to Glue Catalog

Notebook and job migration: notebooks, DAG pipelines, DLT pipelines

Storage path refactoring: /mnt/ DBFS references to S3-backed locations

Data migration execution: Deltalake format to Iceberg format on S3  (Delta tables, raw files), incremental sync

Streaming: Auto Loader / DLT checkpoint re-bootstrap, event_id dedup

Validation: row counts, checksums, sample queries, ETL runtime comparison

Secrets: recreate secret scopes in AWS Secrets Manager

AWS services: S3, Glue, Secrets Manager, IAM basics, Athena, LakeFormation and

EMR

Languages: Spark SQL, PySpark, Java, Python and Scala

Agile pod delivery: daily ticket updates, standups, code review

Nice to Have

Databricks Certified Consultant (Associate/Professional); DBR to EMR on AWS migration experience

#LI-LO1

Our benefits

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

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