Position: Data Architect / Consultant
Category: Data Engineer
English level: upper
Years of experience: 11

• Gathering and documenting requirements from scratch (create BRD)
• Build architecture with two different Cloud DWHs (Redshift vs Snowflake) for comparison
• Provide document PoC results with feature/pros/cons/cost comparisons
• Build dev team, interview candidates
• Create a backlog, assign user stories, define features SLAs
• Resolve issues with architecture approach
• Communicate with stakeholders
• Create cases for AWS Services and communicate with Premium Support
I have over 10 years of experience in the IT industry. Participated in multiple projects of
various sizes and complexity. Have strong experience in different Data Engineering
directions including Reporting, ETL/ELT (Talend, SSIS), databases(SQL Server, PostgreSQL,
Oracle), and Cloud Services (AWS & Snowflake). Experience in the architecture and
implementation of DWH and Lakehouse solutions in AWS Cloud.
Key achievements/responsibilities:
- Building solutions from scratch.
- Migration of on-prem systems into Cloud-based data platforms.
- Redesigning/improving existing architectures.
- Creating BRD and transforming it into architectural design.
- PoC creation with tech stack comparison.
- Team Lead of different team sizes (2 - 10 members)
I'm not looking for low level coding job.
My passion is to architect and orchestrate data pipeline, build teams, define priorities.