Azure Data Platform Lead - Greenfield

Grid Dynamics; Warszawa; On-site; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Benefits package

Job summary

Grid Dynamics is seeking a Data Tech Lead to own a greenfield Azure-based data platform for a UK-based sustainability organization. You will lead a distributed team of senior engineers, set architectural standards, and design DataOps pipelines from scratch.

You will collaborate with architects, product owners, and stakeholders to translate complex requirements into scalable, maintainable solutions with high release quality.

Qualifications

• 5+ years hands-on data engineering experience delivering large-scale data platforms.
• Deep expertise with enterprise data platforms on Microsoft Azure (Fabric/Databricks/Data Factory).
• Strong data modeling, data integration and DataOps practices.
• Experience in Agile/Scrum environments using Jira and Confluence, high autonomy.
• Excellent written and spoken English for stakeholder communication.

Responsibilities

• Act as the primary technical lead, setting architectural standards and DataOps practices.
• Design, build, and scale a brand-new Azure-native data platform with modern tools.
• Review user stories for clarity and architectural alignment; oversee code quality.
• Establish robust CI/CD pipelines and automated testing frameworks.
• Provide day-to-day technical guidance to data engineers and unblock complex challenges.
• Collaborate with architects, product owners, and UK stakeholders to translate requirements into solutions.

Skills

Data engineering

Azure data platform

Data modeling

DataOps practices

Agile leadership

Jira

Confluence

English communication

Tools

Microsoft Fabric

Azure Databricks

Azure Data Factory

Azure Purview

Job description

Grid Dynamics is seeking a Data Tech Lead to own a greenfield Azure-based data platform for a UK-based sustainability organization. You will lead a distributed team of senior engineers, set architectural standards, and design DataOps pipelines from scratch.

You will collaborate with architects, product owners, and stakeholders to translate complex requirements into scalable, maintainable solutions with high release quality.