Senior Software Architect

Your responsibilities:

• Lead the technical and data architecture as well as design of data products and data pipeline solutions on the Snowflake and AWS platforms ensuring scalability, data quality, security, and performance.
• Drive the modeling of entities and relationships ensuring accurate representation and integration within the data ecosystem of the domain
• Provide technical guidance and mentorship to the team, fostering a collaborative and innovative work environment.
• Collaborate with cross-functional teams, including data product owner and stakeholders, to align technical solutions with data quality requirements and usage data patterns. 
• Drive the development and execution of the technical roadmap for data product development on AWS and Snowflake, leveraging best practices and industry standards.
• Oversee the data quality assurance, including code reviews, observability, testing, and documentation, to ensure the robustness and reliability of data products.
• Create and maintain architecture and models documentation 

We are looking for you, if you have:

• Proven experience in technical leadership roles, with a focus on eliciting data architecture and building data products as well as data pipeline solutions on Snowflake and/or AWS. 
• Masters communication of complex technical concepts and decisions effectively to non-technical stakeholders, contributing to a shared understanding of the value and impact of data products.
• 5+ years in a data engineering/data analyst oriented role with an additional 2+ years in data solution architect role in a large scale enterprise data warehouse / lake initiative comprising data pipelines, ETL processes in the context of Snowflake and AWS-based solutions. 
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and levels of the organization.

 Experience covers typically: 

• Development of conceptual, logical and physical data solution architecture and design 
• Applied Data vault 2.0 principles in design and architecture 
• Proven experience in optimization and fine-tune of data pipelines for performance and scalability.
• Applied SQL, especially for data querying and manipulation
• Coped with challenges of structured and unstructured data sources.
• Evidence of strong problem-solving and troubleshooting skills.
• Good hands-on knowledge in Python development 
• DevOps Tools, CI/CD
• Data Ingestion & Systems Integration 

We offer:

• Participation in interesting and demanding projects
• Flexible working hours
• A great, non-corporate atmosphere
• Stable employment conditions (contract of employment or B2B contract)
• Opportunities for development and promotion
• Attractive package of benefits
• Remote work