Data Cloud Platform Architect
Há 2 dias
About Us
This position is a direct hire for a global leader in the ICT industry, recognized for delivering mission-critical technology solutions across enterprise and public-sector environments. The professional will join an advanced engineering organization driving innovation in cloud, data platforms, and digital modernization, contributing to high-impact transformation programs used worldwide.
At Genesis Digital Solutions, we help companies innovate and thrive in the digital world. We are a team of technology and IT consulting specialists committed to excellence and making a real impact on our clients' projects. If you're looking for a dynamic environment where you can grow and contribute to cutting-edge technological solutions, we want to meet you
What You Will Do
- Architect and design scalable, efficient, and secure data solutions on AWS.
- Lead large-scale data migration and optimization initiatives.
- Develop Infrastructure as Code (IaC) templates (e.g., Terraform) for platform deployment.
- Create PoCs and production-grade prototypes to define data engineering standards.
- Establish and optimize CI/CD pipelines for data workloads.
- Work with large datasets using Iceberg table formats and modern data lake approaches.
- Define and enforce governance, security, and architectural best practices across cloud data platforms.
- Contribute to orchestration pipelines with tools such as Apache Airflow and AWS Step Functions.
- Collaborate with cross-functional teams to ensure robust, scalable data engineering ecosystems.
What We Are Looking For
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 10+ years of experience
working with AWS data services, with exposure to Azure data services. - Strong programming skills in
Python
and
SQL
. - Experience with
IaC (Terraform)
and platform deployment automation. - Proven background in
large-scale data migration
and platform modernization. - Experience with
Iceberg tables
and large dataset optimization. - Solid understanding of
cloud architecture best practices
on AWS. - Experience with orchestration tools such as
Apache Airflow
and
AWS Step Functions
. - Strong knowledge of
ETL tools
, large data processing, and preferably
Kafka
. - Experience defining governance and security standards for cloud data platforms.
- Familiarity with
Azure Databricks
is considered a strong advantage. - Fluency in
Portuguese and English (C1+)
.
Nice to Have
- Knowledge of
Apache Flink
, Kafka, or other streaming technologies. - Certifications in
AWS
,
Azure
, or similar. - Experience with
Dataiku
.
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