Position: Data Architect Engineer (O)
Company: PSR
Category: Lead
Experience required: 5y
English level: upper

We are looking for a Data Architect to join the team on a full-time basis.
You will join a highly motivated team and will be working on a modern solution for our existing clients.

**Requirements:**
- Technology Stack: Python, Kafka, Hadoop, Spark, Azure, Data Modeling, DWH, SQL performant Coding (+ Azure Databricks, +Snowflake, not critical).

**Responsibilities:**
- Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process data quickly at big data scales;
- Contributes to design, code, configurations, and documentation for components that manage data ingestion, real-time streaming, batch processing, data extraction, transformation, and loading across multiple data storages;
- Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed;
- Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members.
Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability;
- Performs development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions;
- Works directly with business analysts and data scientists to understand and support their use cases;
- Contribute to CoE activities and community building, participate in conferences, provide excellence in exercise and best practices;
- Help in sales activities, customer meetings, and digital services.

**Desirable (Hard skills):**
- Understanding of cloud infrastructure design and implementation;
- Experience in data science and machine learning;
- Experience in backend development and deployment;
- Experience in CI/CD configuration;
- Good knowledge of data analysis in enterprises.

**Personal skills (soft skills):**
- Ability to work independently without supervision;
- Curious mind and willingness to work with the client in a consultative manner to find areas to improve;
- Upper-Intermediate English;
- Good analytical skills;
- Good team player motivated to develop and solve complex tasks;
- Self-motivated, self-disciplined, and result-oriented;
- Strong attention to detail and accuracy.