The opportunity 

If you are passionate about Data, finding and building solutions for complex challenges, and creating products that delight customers, you have the profile we are looking for.

Cerebro team is building the new architecture for data massive storage and visualization, and we are looking for a hands-on Data Engineer Architect to play a major role in the process. We will be relying on your expertise and insights to solve our complex business needs.

There are no boring days in Glia!

What are the expectations for an Architect level role in Glia?

• Drive the long-term technical strategy and vision for the organisation, ensuring its alignment with business objectives;
• Make high-level architectural and design decisions with broad-reaching impact, influencing the overall direction of the organisation’s technology;
• Provide technical guidance and mentorship to engineers at all levels, fostering a culture of growth and continuous improvement;
• Contributing to the code base and doing code reviews.

Our challenges include

• Creating and maintaining a scalable data pipeline architecture for real-time and historical insights;
• Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources;
• Creating data tools that assist our analytics team in building and optimising our product and business processes;
• Continuously evolving and improving our architecture to support business needs and growth challenges;
  
• Assuring the security and compliance regulations are met for our customers' data.

The team’s setup

Team Cerebro is a cross functional team composed by Engineers, a Product Manager and an Engineering Manager (Group Leader). Team defines its work collaboratively with its stakeholders and has full ownership of their services. You'll be reporting to the Engineering Manager (Group Leader) and will be responsible for the technical leadership of the team. 

We have team members in Estonia and Portugal, so our processes are optimised for remote collaboration. We work in the Eastern European time zone (EET/EEST).

Our current tech stack

• Persistence: Amazon RDS for PostgreSQL, Apache Druid, Snowflake
• Streaming: Kinesis, RabbitMQ
• Monitoring: DataDog
• CI/CD: Jenkins
• Infrastructure as Code: Terraform, Ansible
• BI: Amazon QuickSight

Note: We are constantly evolving our tech stack to assure the usage of the right tools for the specific needs (such as Python, Kafka etc), and you will be part of the process.

Candidate requirements

• Proven ability to architect and build highly reliable, scalable, maintainable and secure data systems for near real-time (seconds) and historical data;
• Experience with stream processing and queuing systems (Kafka, RabbitMQ, Kinesis);
• In-depth understanding of data modeling techniques and distributed data processing architectures;
• 5+ years of engineering experience working hands-on with large volumes of data;
• Excellent written and spoken English communication skills.
  

Nice to have

• Experience mentoring people;
• Experience with AWS Cloud services;
• Experience with data warehouse;
• Experience with Python;
• Understanding of Docker and Kubernetes.