Senior Data Architect

New

Kuchnia VikingaData platforms

Workplace type: remote; Locations: Białystok, Handlowa 3, Białystok, Country code: plContractSenior

Salary20,000 - 30,000 PLN per year

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Job Details

Have experience designing and developing data-platform architecture or modern data warehouses in cloud environments.
Have strong SQL skills and practical experience with cloud data warehouse platforms, especially Snowflake or equivalent solutions.
Have experience designing end-to-end data flows, source-system integrations, ETL/ELT processes, and data-processing orchestration and monitoring.
Have strong knowledge of data modeling, warehouse-layer design, and analytical structures.
Understand how to build scalable and performant data solutions.
Have experience defining architectural and development standards for code quality, testing, documentation, versioning, and CI/CD.
Be able to design solutions addressing security, Data Governance, data quality, access control, and data lineage.
Have experience optimizing data-processing performance and costs in cloud environments.
Be able to assess existing architecture, identify limitations, and design target solutions for long-term platform development.
Be able to make, document, and justify technology decisions and translate architectural assumptions into technical guidance.
Have experience collaborating with engineers, IT and Data teams, and business stakeholders.

Design and develop the organization's target data-platform architecture, including Snowflake, source integrations, data flows, orchestration, and data-access layers.
Assess existing architecture and identify limitations and opportunities for optimization, modernization, and further development.
Plan architectural changes around future business needs, scalability, performance, security, and maintenance costs.
Design data integrations with source systems, including API-based solutions and ETL/ELT processes.
Define standards for data modeling, warehouse layers, data flows, and data sharing with analytics and business teams.
Set technical and development standards for code quality, SQL optimization, testing, versioning, documentation, and CI/CD deployments.
Define architecture for orchestration and monitoring of data-processing workflows.
Oversee Data Governance, data quality, security, access management, retention, documentation, and data lineage.
Optimize Snowflake platform performance and costs, including compute-resource use and processing-cost monitoring.
Document and justify architectural decisions, select technologies and patterns, and work with the Senior Data Engineer and stakeholders to guide implementation.

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