Tieto

Data Architect – Tieto Tech Consulting

In short

Senior Data Architect role at Tieto Tech Consulting for a Data & Analytics project in the agricultural industry, based in Poznań with a hybrid work model. The role involves designing data solutions, integrating multi-source data, building ETL/ELT pipelines, data warehouses/lakes, and scalable datasets on the Azure platform (ADF, Azure SQL, ADLS Gen2, Databricks, PySpark, Delta Lake), plus close collaboration with business and technical stakeholders. Requires 4+ years in data architecture/engineering, 3+ years with Azure data services, advanced SQL, and Upper-Intermediate+ English.

About the Role
Tieto is looking for an experienced Data Architect to join our Data & Analytics project in the agricultural industry. In this role, you will design and architect data solutions, integrate data from multiple sources, and create scalable datasets supporting analytics and reporting. You will work closely with business and technical stakeholders and contribute to backend development when needed.
When joining Tieto Tech Consulting as a Data Architect
•Design and architect data solutions for multi-source system integration
•Create scalable datasets to support analytics and reporting platforms
•Gather business requirements and translate them into technical solutions and specifications
•Design data models, ETL/ELT processes, data warehouse, and data lake solutions
•Ensure scalability, performance, data quality, and validation of data solutions
•Collaborate with business analysts, developers, DBAs, and other stakeholders
•Communicate complex data concepts clearly to non-technical stakeholders
•Support backend development when required
•Document technical solutions and share knowledge within the team
Requirements
•4+ years of experience in data architecture, data engineering, or similar roles
•3+ years of experience working with Azure data platform services
•Strong hands-on experience with Azure SQL Database, including schema design, query optimization, and indexing
•Strong experience with Azure Data Factory (ADF), including pipeline design, triggers, linked services, and data flows
•Experience with Azure Data Lake Storage (ADLS Gen2) and Azure Storage
•Experience with Azure Logic Apps
•Hands-on experience with Azure Databricks, Spark SQL, PySpark, and Delta Lake
•Strong knowledge of data modeling, including dimensional modeling and star schema
•Good understanding of ETL/ELT design patterns and data warehouse/data lake architecture
•Advanced SQL skills, including complex joins, CTEs, query performance tuning, and execution plan analysis
•Experience with multi-source data integration, APIs, data quality, validation, and error-handling approaches
•Understanding of CI/CD, version control (Git), Infrastructure as Code, and Azure security concepts
•Strong communication and stakeholder management skills, with the ability to translate technical concepts into business language
•Strong analytical and problem-solving skills
•Ability to gather and analyze requirements and work effectively in cross-functional teams
•English proficiency at Upper-Intermediate level or higher
Will Be an Advantage
•Good understanding of Power BI and data requirements for dashboards
•Knowledge of reporting concepts, metrics, KPIs, and business intelligence
•Experience with Azure DevOps
•Experience with Azure Resource Manager (ARM) templates or other Infrastructure as Code approaches
•Knowledge of RBAC, Key Vaults, and cloud security/access management
•Previous experience or understanding of the agriculture/agribusiness domain
•Experience mentoring colleagues and sharing technical knowledge
•Understanding of Agile methodologies
What We Offer
•Professional growth, meaningful projects, open culture, and an outstanding work-life balance
•Opportunity to contribute to a growing, fast-developing, and important sector
•Flexible hybrid work model
•Information about the salary range and the criteria used to determine remuneration will be shared with candidates prior to the interview process and confirmed before an offer is made

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