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.
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:
- Relevant certifications in Databricks, AWS, Azure, or Google Cloud.
- Understanding of machine learning concepts and frameworks to support data science initiatives.
- Experience working in Agile environments and familiarity with DevOps + IaC practices.
- Additional Programming Languages: Scala, Java, or R.
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!
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.