Senior Azure Data Platform Architect (Greenfield)

Grid Dynamics; Warszawa; On-site; PLN 320,000 - 520,000; Full time

Benefits offered by this job

Medical insurance

Sports

Professional development

Well-equipped office

Flexible schedule

Job summary

Grid Dynamics in Warsaw seeks a Senior BigData Architect to lead the design and implementation of a brand-new, enterprise-scale data platform from scratch. This greenfield project focuses on architecture, design, and delivery, with no legacy maintenance, and you will drive the overall data architecture strategy and establish standards across the Azure stack.

You will guide engineers, collaborate with business stakeholders, and translate complex requirements into scalable, end-to-end data

Qualifications

• 5+ years of experience in data architecture.
• Led architecture of a greenfield data platform.
• Deep Azure Data Stack expertise.
• Certified in Azure Data/Fabric Analytics.
• Strong data governance and DataOps practices.
• Experience with Agile/Scrum (Jira/Confluence).
• Fluent English.

Responsibilities

• Define and drive architectural strategy for an enterprise data platform.
• Architect end-to-end solutions using Azure tools.
• Set standards and create reference architectures.
• Provide technical leadership and governance.
• Collaborate with stakeholders to translate requirements.

Skills

Data architecture

Azure data stack

Data modelling

Stakeholder management

Agile/Scrum

Education

Microsoft Certification in Data Stack

Tools

Azure Data Factory

Databricks

Synapse Analytics

Azure Data Lake

Microsoft Fabric

Purview

Jira

Confluence

Job description

Grid Dynamics in Warsaw seeks a Senior BigData Architect to lead the design and implementation of a brand-new, enterprise-scale data platform from scratch. This greenfield project focuses on architecture, design, and delivery, with no legacy maintenance, and you will drive the overall data architecture strategy and establish standards across the Azure stack.

You will guide engineers, collaborate with business stakeholders, and translate complex requirements into scalable, end-to-end data