Data Architect

Tieto

. Design and architect data solutions for multi-source system integration .

Posted 10/14/2026full-timeRemote • Kyiv • UkraineMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and architecting data solutions, with a strong focus on Azure data services, data modeling, and multi-source system integration. Proficient in translating business requirements into technical specifications while ensuring data quality and performance.

Highest-signal resume keywords

Data ArchitectureAzure Data Platform ServicesETL/ELT ProcessesData ModelingAzure SQL Database

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData QualitySQLAzure Data FactoryAzure DatabricksSpark SQLPySparkData Warehouse ArchitectureDimensional ModelingComplex Joins

Soft Skills

CommunicationStakeholder ManagementAnalytical SkillsProblem-SolvingCross-Functional Collaboration

Tools & Technologies

Azure Data Lake StorageAzure Logic AppsPower BIAzure DevOpsAzure Resource Manager

Industry Keywords

Agricultural IndustryBusiness IntelligenceMetricsKPIsAgile Methodologies

Tech Stack

Tools & technologies

AzureCloudETLPySparkSparkSQL

About the role

Key responsibilities & impact

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
Join a Data & Analytics project in the agricultural industry
Work with Azure data services and integrate data from multiple sources

Requirements

What you’ll need

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
Will be an advantage: Good understanding of Power BI and data requirements for dashboards
Will be an advantage: Knowledge of reporting concepts, metrics, KPIs, and business intelligence
Will be an advantage: Experience with Azure DevOps
Will be an advantage: Experience with Azure Resource Manager (ARM) templates or other Infrastructure as Code approaches
Will be an advantage: Knowledge of RBAC, Key Vaults, and cloud security/access management
Will be an advantage: Previous experience or understanding of the agriculture/agribusiness domain
Will be an advantage: Experience mentoring colleagues and sharing technical knowledge
Will be an advantage: Understanding of Agile methodologies

Benefits

Comp & perks

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 and development culture focused on curiosity and continuous relearning