Data Platform Engineer

Luza is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

- Collaborate closely with internal and external stakeholders, developers, and managers to ensure timely deliverables;

- Design, deploy, and operate data platforms, including real-time streaming and processing (Kafka, Flink, Debezium/CDC), on Kubernetes and as managed services;

- Operate and evolve cloud-native data services, from databases on Kubernetes using operators (e.g. CloudNativePG for PostgreSQL) to managed data platforms (DBaaS), evaluating and prototyping new technologies and providers while ensuring security and compliance;

- Apply DevOps and SRE principles with a strong focus on automation and scalability, managing infrastructure as version-controlled, reviewed, and tested code (Terraform/Terragrunt, Ansible, GitLab CI/CD, Argo CD, Vault, Python, Bash);

- Build reusable modules, automation, and golden paths that let development teams provision and consume data services through self-service;

- Reduce manual processes, operational toil, and technical debt, and contribute to migration and modernisation of remaining legacy data systems;

- Design for resilience, high availability, and fault tolerance, including backup, recovery, and failover strategies;

- Monitor and improve reliability and performance using observability tooling (Prometheus, Grafana). Analyse, troubleshoot, and resolve complex incidents, and address root causes to prevent recurrence;

- Analyse resource usage, growth patterns, and capacity, and promote cost efficiency and FinOps principles across data platforms.
Participate in the 24/7 rotational hotline to maintain system resilience.

- Mostly remote; 

Who You Are:

- Proven experience operating production databases (e.g. PostgreSQL, MongoDB, Valkey): replication, high availability, backup and recovery, and upgrades;

- Hands-on experience with data streaming and real-time processing technologies (e.g. Kafka, Flink);

- Solid experience applying DevOps principles in production, including CI/CD, automation (Python, Bash, or similar), and Infrastructure as Code (e.g. Terraform, Terragrunt, and Ansible);

- Strong SQL skills and experience with database performance tuning (queries, indexing, engine configuration);

- Operational experience with public cloud, preferably Azure.

- Working knowledge of Kubernetes and containers;

- Strong autonomy and critical thinking skills, with a sense of ownership, a continuous-improvement mindset, and the ability to work in cross-functional teams;

- Excellent communication skills (written, listening, and speaking), a collaborative mindset, and a proactive attitude;

- Fluency in Portuguese and English (mandatory); French comprehension appreciated.

Additional Preferred Skills:

- Strong Kubernetes/AKS knowledge, particularly with stateful or data-intensive workloads and database operators (e.g. CloudNativePG), including storage and autoscaling;

- Good Linux administration and troubleshooting;

- Experience with managed data services (DBaaS), e.g. managed PostgreSQL, Kafka, or MongoDB offerings;

- Experience with CDC (e.g. Debezium).

Proficiency with GitLab CI/CD and GitOps;

- Familiarity with observability (Prometheus, Grafana, Loki);

- Understanding of FinOps and cloud cost optimisation;

- Exposure to other data technologies across transactional, search, or analytics systems (e.g. Elasticsearch, SQL Server, Oracle, Databricks);

- Experience in Agile/Kanban setups focused on continuous delivery and flow;

- Relevant certifications in cloud (e.g. Azure), databases, Kubernetes, DevOps, or SRE



What you'll get:

- Wage according to candidate's professional experience;

- Remote Work whenever possible;

- Delivery of work equipment adjusted to the performance of functions;

- Benefits plan;

- And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniquess!