Data Architect

🔥 0 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Logo of Tieto

Tieto

10,000+ employees

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

Consulting • SaaS • Artificial Intelligence

Tieto is a Nordic IT services and software company that helps organizations turn ideas into results by providing AI and data solutions, software products, cloud and software development, and design and consulting services. It serves multiple verticals — including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre — and emphasizes AI, cloud and digital transformation for enterprise customers.

📋 Description

• Design and architect data solutions for multi-source system integration • Create scalable datasets supporting 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 • Contribute to a Data & Analytics project in the agricultural industry

🎯 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 • Background checks required for all final candidates • CV or LinkedIn profile required with application

🏖️ Benefits

• Professional growth • Meaningful projects • Open culture • Outstanding work-life balance • Flexible hybrid work model • Opportunities to create the future of a growing, fast-developing, and important sector • Learning culture supporting continuous unlearning and relearning • Diversity, equity, and inclusion-focused workplace

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