Azure Data Architect: Scalable Data Lakes & Analytics

Tieto Corp.; Szczecin; Hybrid; PLN 180,000 - 270,000; Full time

Benefits offered by this job

Flexible hybrid work model

Job summary

Tieto Corp. is seeking an experienced Data Architect to join our Data & Analytics team in the agricultural sector. You will design and architect data solutions, integrate data from multiple sources, and create scalable datasets to support analytics and reporting.

You will work with business and technical stakeholders, translate requirements into technical specs, and contribute to backend development when needed. Strong Azure data services experience and data modeling skills are essential.

Qualifications

• Bachelor's degree or equivalent in a relevant field is not specified; senior experience accepted.
• 4+ years of experience in data architecture or data engineering.
• Hands-on Azure data platform experience across several services.

Responsibilities

• Design and architect data solutions for multi-source integration.
• Create scalable datasets supporting analytics and reporting.
• Gather requirements and translate to technical specs.
• Design data models, ETL/ELT, data warehouse and data lake architectures.
• Ensure scalability, performance and data quality.
• Collaborate with analysts, developers and DBAs.
• Communicate complex data concepts to non-technical stakeholders.
• Support backend development when required and document solutions.

Skills

Azure data architecture

Data modeling

SQL

Communication skills

English proficiency

Tools

Azure SQL Database

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Spark SQL

Delta Lake

Azure Logic Apps

CI/CD

Job description

Tieto Corp. is seeking an experienced Data Architect to join our Data & Analytics team in the agricultural sector. You will design and architect data solutions, integrate data from multiple sources, and create scalable datasets to support analytics and reporting.

You will work with business and technical stakeholders, translate requirements into technical specs, and contribute to backend development when needed. Strong Azure data services experience and data modeling skills are essential.