If you want to participate on international projects with global impact, cooperate with skilled Data Engineers on daily basis and create efficient architecture regarding databases and data processes, this role will be a great opportunity for you.
As a Digital Data Architect you will participate in defining functional designs and application systems architecture across various digital platforms.
What you'll do:
- Develop detailed architecture deliverables to solve business problems.
- Design an application's technical infrastructure, such as specific databases, programming languages, utilities, and testing approaches.
- Lead the evaluation and deployment of new technologies to add or enhance existing digital technical capabilities.
- Participate in addressing business requirements for applications and collaborate with cross-functional teams to deliver digital solutions that meets business results.
Employee perks, benefits
- 6 extra days off: 3x localhost days and 3x sick days
- Referral bonus
- Benefit plus budget
- Financial contribution to Pension plan
- Multisport Card
- Education support (certificates, courses, trainings)
- Physiotherapist sessions once a week in the office
- Bonuses at every smashing life events
- Flexible working arrangements
- Transparent approach and communication
- Supporting your ideas
Requirements for the employee
Language skills: English - Upper intermediate (B2)
Number of years of experience: 8
Personality requirements and skills
What you already have:
- Proven experience of components such as EC2, S3, RDS, Lambda, and other services within AWS to design and implement scalable and secure cloud solutions.
- Experience with data lakes, preferably Snowflake, to efficiently store, manage and analyze large volumes of data.
- Experience with various application design methodologies, techniques and tools to convert business requirements into a technical application design.
- Understanding of processes, techniques, and factors that affect data architecture, and the ability to design blueprints for integrating data resources for business processes and functional support.
- Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
- The ability to determine the root cause of organizational problems and create alternative solutions to resolve these issues.
The best candidates will also have:
- Good understanding of ETL processes, including experience with ETL tools and techniques to manage data integration and transformation.
- Broad experience with both SQL and NoSQL databases to design and manage data storage solutions compliant with business requirements.
