Position: Data Architect
Company: AppReal
Experience required: 5y
Category: Lead
English level: upper
Published: 2021-05-01T00:00:00+03:00

**Responsibilities:**

- Determining best fit architectural design; 
- Researching for new technologies; 
- Collaborating with other departments in order to fully cover business needs; 
- Perform in-deep technical consultation of developers; 
- Writing well-documented high-level technical documents/specifications; 
- Supporting teams on implementation and integrations, perform code reviews; 
- Working on complex problems and performance issues. 

**Requirements:**
- Bachelor's degree in Computer Science/Engineering;
- At least 10 years of practical experience in the development;
- At least 2 years in data architect/tech lead position;
- Good knowledge of architecture/design patterns and styles;
- Experience in creating a design for new applications/projects;
- Strong knowledge of end-to-end data lifecycle across data warehouses, relational databases, operational data stores, BI reporting, and big data analytics;
- Experience creating conceptual and logical data models; 
- Expert knowledge of Java or Scala;
- Experience with SQL and NoSQL database;
- Extract, Transformation, Load (ETL) development skills;
- Knowledge of data technology products and components for Big Data (Data Lakes);
- Experience with data warehouses (Vertica, Hive);
- Proven technical writing skills;
- Experience working with source control systems, code review systems; 
 - Experience working with continuous integration and delivery systems, code quality automation systems;
- Experience working with debugging/profiling tools, ability to resolve performance issues;
- Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience; 
- Understanding SDLC and best practices as gitops; 
- Strong communication skills; 
- Fluent English.

**Nice to have:**

- Python knowledge is a plus; 
- Experience with any of the following is a plus: Spark, Kafka, Airflow, Hadoop.