Summary
✨ AI‑Generated
A senior architecture role focused on creating a modern enterprise data platform from the ground up. The position requires designing scalable cloud-based data solutions, establishing best practices, and guiding engineering teams.
Highlights
Greenfield architecture opportunity to design an enterprise-scale data platform from scratch while providing technical leadership and setting modern standards.
Description
We are seeking a Senior BigData Architect to lead the design and implementation of a brand-new, enterprise-scale data platform from scratch.
This is a pure greenfield project focused entirely on architecture, design, and delivery, with no legacy maintenance phase involved.
As the primary technical authority, you will drive the overall data architecture strategy, establish standards, and build end-to-end data solutions using an Azure-native ecosystem.
Responsibilities
Define, design, and drive the architectural strategy for a scalable, reliable enterprise data platform from inception to production.Architect end-to-end solutions using Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake, and modern tools such as Microsoft Fabric and Purview.Set architectural standards, define best practices, and produce reference architectures and documentation for engineering teams.Provide technical leadership and governance, reviewing designs, guiding data engineers, and making real-time architectural calls.Collaborate closely with business stakeholders and technical leads to translate complex requirements into implementable architectural decisions.
Requirements
5+ years of experience in data architecture.Proven track record of leading the architecture of a greenfield data platform from scratch to production.Deep expertise in the Microsoft Azure Data Stack (Azure Data Factory, Azure Data Lake, Databricks, Synapse Analytics).Relevant Microsoft Certification in the Data Stack (e.g., Azure Data Engineer Associate / Fabric Analytics Engineer).Strong command of data modelling, data governance, and modern DataOps practices.Experience working in Agile/Scrum delivery environments (Jira, Confluence).Exceptional stakeholder management and whiteboarding skills; fluent English.
Nice to have
Familiarity with Data Mesh, Medallion architecture, or Lakehouse design patterns.Hands-on experience with Microsoft Fabric and Azure Purview.
We offer
Opportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, sportsCorporate social eventsProfessional development opportunitiesWell-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.
