Position: AWS Data Architect
Company: Intellias
Category: Data Engineer
Experience required: 5y
English level: upper
Published: 2022-01-01T00:00:00+02:00

Data Practice team is a part of Intellias Technology office and our main goal is to bring modern data processing, analysis, and infrastructure practices to our potential, new and existing customers.
We are looking for professionals with a wide range of experience willing to tackle complex technical business problems and contribute with their experience, intelligence, and inspiration to our team.
The AWS Data Architect should have a highly developed set of analytical, communication skills and consulting capability.
Also, ability to present and communicate complex technical solutions both to the client and team members.
He or she should be able to identify technical risks, propose solutions and effectively communicate them to all stakeholders.

**Responsibilities:**
Working as a team member of Data Practice team on providing architectural services to pre-sale team and account management;
Lead discoveries, conduct planning workshop for new business, play the key technical role in preparation proposals including creation of data architecture;
Mentoring of technical leaders and driving knowledge sharing sessions between technical teams;
Conduct architectural assessments;
Provide internal and external consulting services to various stakeholders;
Technical representation;
In certain cases, act as a primary account starter;
Take active part in company-wide architectural processes and approaches the definition.

**Requirements:**
8+ years in Software Development;
2+ years in Architecture;
Strong Experience with RDBMS, Data Warehouses, Data Lakes and NoSQL engines;
Strong Experience in AWS data and big data services (Redshift,  DynamoDB,  RDS,  Glue, Athena, Avrora etc.);
Practical experience in pre-sales activities, technical design preparation and presenting;
Sufficient knowledge and experience to define architectural drivers, constraints, quality attributes and perform trade-off analysis;
Excellent interpersonal communication skills to explain complex technical topics in an easily digestible manner;
Deep analytical skills;
Advanced English.
Nice to have:
Bachelor’s Degree/Master’s Degree in Computer Science, Applied Mathematics, etc.