Offer summary

Qualifications:

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field., Solid experience in data architecture and development, particularly with Databricks., Proficiency in Apache Spark, SQL, and data modeling, along with strong problem-solving skills., Excellent communication skills in English and Portuguese, with experience in cloud platforms like Azure or AWS..

Key responsabilities:

Design and implement scalable data architecture solutions using Databricks.

Create and maintain robust data pipelines for processing large volumes of data.

Collaborate with data engineers and clients to understand data requirements and provide insights.

Monitor and optimize data pipeline performance, ensuring high availability and reliability.

Job description

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 6,500 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

When applying for one of our positions, you’re agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. For more information, access our opportunities’ page.

Since 2017, CI&T and Databricks have collaborated to help enterprise customers gather valuable insights from their data. Together, we significantly influence our clients' Data, AI, and ML journeys. With over 200 seasoned Databricks practitioners and a track record of successful enterprise projects, the partnership between CI&T and Databricks is exceptionally robust.

We're growing fast and seeking a talented, motivated Databricks Senior Data Architect to join our team. You'll play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients.

Responsibilities:

- Architecture Design: Design and implement scalable and efficient data architecture solutions using Databricks, ensuring alignment with best practices and client needs.

- Data Pipeline Development: Create, test, and maintain robust data pipelines to ingest and process large volumes of data from various sources.

- Collaboration: Work closely with data engineers, data scientists, and stakeholders to understand data requirements and translate them into technical specifications.

- Performance Optimization: Monitor and optimize the performance of data pipelines and infrastructure, ensuring high availability and reliability.

- Technology Evaluation: Track emerging technologies and data processing frameworks to enhance the existing architecture and recommend improvements.

- Documentation: Develop and maintain comprehensive documentation for data architecture, processes, and workflows.

- Mentorship: Provide technical guidance and mentorship to junior data architects and engineers within the team.

- Client Engagement: Collaborate with clients to understand their business objectives and data challenges, providing insights and recommendations to drive their data strategy.

Requirements for this Challenge:

- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

- Sólid experience in data architecture, data developing, or a similar role, with hands-on experience in Databricks.

- Soft Skills: Excellent communication in English and Portuguese, with the ability to work effectively in a team-oriented environment and engage with clients.

- Technical Skills: Proficiency in Apache Spark, SQL, and data modeling; strong understanding of ETL processes and tools.

- Cloud Platforms: Experience with cloud platforms such as Azure, AWS, or Google Cloud, especially concerning Databricks services. Networking and IAM setup experience are a plus.

- Programming Languages: Proficient in the Python programming language.

- Data Warehousing: Familiarity with data warehousing concepts and technologies.

- Problem-Solving Skills: Strong analytical and problem-solving skills with a focus on optimizing data solutions.

Nice to Have:

- Certifications: Relevant certifications in Databricks, AWS, Azure, or Google Cloud.

- Machine Learning Knowledge: Understanding of machine learning concepts and frameworks to support data science initiatives.

- Agile Experience: Experience working in Agile environments and familiarity with DevOps + IaC practices.

- Additional Programming Languages: Scala, Java, or R.

#LI-JP3

#MidSenior

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Wellhub (Gympass)

-TotalPass

-Profit-sharing (PLR)

-Life insurance

-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

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

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