Job opportunities
Job opportunities
Data Architect
Be part of a team that provides solutions in the knowledge industry with a positive impact. We have more than thirty years of experience empowering our clients through technology, methodology and talent.
We want to be a better company for the world and we know that the best results are achieved through collaboration. That is why we grow, innovate and evolve together.
What are we looking for in you?
- Responsible for defining data architectures for digital solutions
- Responsible for data design and modeling and its maintenance based on good practices and scalability
- Review of intake processes.
- Definition of architecture on the stages and life cycle of data.
- Implement and maintain good data security and governance practices in the architecture, ensuring compliance with privacy standards and regulations.
- Implement and maintain good practices for data integrity and system performance.
- Database design, optimization and migration.
- Work in a coordinated manner with the Enterprise Datawarehouse Architect and the AI Architect.
- Collaborate with development teams and stakeholders to understand requirements and translate them into technical solutions.
- Design and develop highly scalable and high-performance data architectures on AWS, using services such as Amazon S3, Amazon Redshift, Amazon Athena, Amazon Glue, Amazon EMR, Amazon Kinesis, etc.
- Design and implement efficient and reliable data flows, including source system integration, data transformation, and data warehousing.
It is considered a plus
- Advanced level of English.
- AWS Certified Data Specialist certification or equivalent in AWS data technologies.
Responsibilities
- Extensive experience in data architecture design and analytics, especially in the banking sector.
- Demonstrable experience in the design and development of data solutions in cloud-based environments, preferably using AWS.
- Deep knowledge of AWS data services such as Amazon S3, Amazon Redshift, – Amazon Athena, Amazon Glue, Amazon EMR, Amazon Kinesis, etc.
- Experience designing and implementing scalable, secure, and high-performance data architectures on AWS.
- Broad understanding of database design principles, data modeling, and ETL (Extract, Transform, Load).
- Extensive knowledge of advanced analytics solutions and tools, both in the cloud and on-premise.
- Extensive knowledge of data architecture/enterprise architecture standards and best practices.
- AWS Certified Data Specialist certification or equivalent in AWS data technologies. (Desirable)
We offer you
- Flexibility
- Diversity
- Spaces for conversation
- Work & life balance
- Continuous training
Our benefits
5 days off a year to do what you like #PatagonianDays
Semi-annual bonus
by
permanence #BonusPermanence
Days for
celebrate
and take care of yourself #Days Off
