Data Tech Lead

We are seeking a Data Tech Lead to drive a high-impact, greenfield Azure Data Platform build for a leading UK-based sustainability and environmental operations organization. In this role, you will be the primary technical authority, shaping the overall build approach, modernizing DataOps practices, and designing CI/CD pipelines from scratch. You will lead a distributed, highly autonomous team of senior engineers to deliver an enterprise-grade, scalable, and reliable platform that underpins a nationwide sustainability operation. Working alongside architects, business stakeholders, and distributed engineering teams, you will turn complex requirements into robust technical execution, taking complete ownership of end-to-end delivery without the burden of legacy maintenance.

Responsibilities:

• Technical Leadership & Strategy: Act as the primary technical lead for the engineering team, setting architectural standards, shaping technical approaches for epics/stories, and establishing DataOps best practices across the platform.

• Greenfield Architecture & Delivery: Design, build, and scale a brand-new Azure-native data platform using Microsoft Fabric, Azure Databricks, Azure Data Factory, or Azure Purview, ensuring long-term maintainability and reliability.

• Agile Backlog Alignment & Quality Oversight: Review user stories for clarity, feasibility, and architectural alignment; oversee code quality through rigorous reviews, clear acceptance criteria, and hands-on guidance.

• Pipeline & CI/CD Automation: Establish robust CI/CD pipelines, automated testing frameworks, and DataOps practices to unblock delivery and maintain high release standards.

• Team Guidance & Unblocking: Provide day-to-day technical direction to data engineers and specialists, mentoring team members, unblocking complex engineering challenges, and fostering an accountable, collaborative culture.

• Stakeholder & Architecture Collaboration: Partner closely with enterprise architects, product owners, and UK-based business stakeholders to translate complex business intent into sound, implementable technical solutions.ove

Min requirements:

• Data Engineering Expertise: 5+ years of hands-on data engineering experience with a proven track record of designing and delivering large-scale data platforms.

• Core Tech Stack Proficiency: Deep expertise in implementing enterprise data platforms on Microsoft Azure, with hands-on experience in Microsoft Fabric, Azure Databricks, or Azure Data Factory.

• Data Modeling & Architecture: Strong command of modern data modeling techniques, enterprise data integration, and DataOps practices.

• Agile Leadership & Autonomy: Proven experience working in Agile/Scrum environments using Jira and Confluence, with the ability to operate with high autonomy and lead teams of senior professionals.

• Communication & Stakeholder Management: Excellent written and spoken English, with the ability to whiteboard technical solutions with engineers and articulate architectural rationale to senior stakeholders.

Would be a plus:

• Greenfield Platform Build: Prior experience constructing an enterprise-scale data platform from scratch (0-to-1 build).

• Extended Azure Ecosystem: Exposure to modern governance, cataloging, and orchestration tools such as Azure Purview, Synapse Analytics, or Delta Lake architectures.

• Domain Experience: Background in sustainability, environmental operations, supply chain, or managing multi-vendor corporate data flows.

We offer:

• Opportunity to work on bleeding-edge projects

• Work with a highly motivated and dedicated team

• Competitive salary

• Flexible schedule

• Benefits package - medical insurance, sports

• Corporate social events

• Professional development opportunities

• Well-equipped office

About us:

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Tech stack

• ETL
• Databricks
• Azure Data Factory