Lead Solutions / Data Architect

Responsibilities

• Design and develop data architecture based on AWS Redshift and AWS Glue.
• Design the Semantic Data Spine and a semantic layer consistent across multiple products and clients.
• Perform data modeling using Star Schema, Snowflake, and Data Vault, with a focus on performance and scalability.
• Define governance, data quality, and security standards, including GDPR compliance.
• Optimize query performance and manage Redshift resources, including distribution styles, sort keys, and WLM.
• Design and oversee ETL/ELT pipelines using AWS Glue, Redshift Spectrum, and data integration.
• Collaborate with data engineers, analysts, and architects to implement solutions aligned with the target architecture.
• Support migration of data from legacy systems into the AWS environment.

Requirements

• AWS Certified Solutions Architect – Professional.
• 6+ years of experience in data architecture.
• Hands-on, production-level experience with Amazon Redshift, Provisioned and/or Serverless.
• Experience with AWS Glue and the broader AWS ecosystem: S3, Lambda, IAM, and CloudWatch.
• Ability to design data models and modeling standards.
• Experience designing data pipelines and data lakes.
• Professional-level English enabling smooth business communication.

Nice to have

• AWS Certified Data Engineer – Associate.
• Experience with Infrastructure as Code tools.
• Experience migrating on-premise data warehouses to Redshift.
• Familiarity with BI tools: Tableau, QuickSight, and Power BI.

Offer

• Private medical care.
• Co-financing for the sports card.
• Constant support of a dedicated consultant.
• Employee referral program.