Data Architect – Azure

SGS

. Define and implement data architecture, governance, standards, and best practices .

Posted 9/17/2026full-timeRemote • PolandMid-LevelSenior💰 €50,000 - €65,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures, with a strong focus on Azure-based cloud solutions and data governance. Proven ability to lead data projects, collaborate with stakeholders, and deliver robust data solutions that meet business needs.

Highest-signal resume keywords

Data ArchitectureAzure-Based Cloud SolutionsSnowflakeData ModellingCI/CD with Azure DevOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData GovernanceData ModellingSQLPythonC#Batch Data SolutionsReal-Time Data SolutionsSolution ArchitectureReference Architecture

Soft Skills

Strong CommunicationUser-Focused MindsetLeadershipTeam CoordinationDocumentation Skills

Tools & Technologies

AzureSnowflakeDBTPower BIMicrosoft FabricAzure DevOpsGitHubADF

Industry Keywords

Cloud SolutionsData TrendsEmerging TechnologiesEnd-to-End Data SolutionsGlobal Architecture Frameworks

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

Define and implement data architecture, governance, standards, and best practices
Assess and estimate data solutions for business needs
Lead solution design in data projects as Data Architect
Contribute hands-on when required
Ensure alignment with global architecture frameworks across teams
Act as main point of contact for cloud partners and internal stakeholders
Develop PoCs to validate emerging technologies
Stay current with data trends and continuous learning
Design and deliver scalable, end-to-end data architectures across SGS
Translate business needs into robust, cloud-based solutions
Architect and implement batch and real-time data solutions
Collaborate with global stakeholders
Drive adoption of Azure, Snowflake, DBT, and Power BI

Requirements

What you’ll need

Degree in Computer Science or equivalent experience
Proven experience delivering solution and reference architectures
Strong track record in end-to-end data solution delivery
User-focused mindset
Ability to travel if needed
Strong communication with senior stakeholders
Fluent in English
6+ years in Azure-based cloud/hybrid data & ML solutions
Strong data modelling expertise (dimensional)
Experience with Snowflake, DBT, ADF, and Power BI
Microsoft Fabric is a plus
SQL and Python; C# is a plus
CI/CD with Azure DevOps / GitHub
Proven leadership and team coordination skills
Ability to manage internal/external delivery teams
Strong documentation and communication skills

Benefits

Comp & perks

Flexible schedule and work model
Continuous learning opportunities through SGS University and Campus
Multinational environment with colleagues from various continents
Comprehensive benefits platform
Open, friendly, and supportive culture
Opportunities to learn, grow expertise, and fulfill potential