Senior BigData Architect (Azure)
Indexed description
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.
- 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.
- Familiarity with Data Mesh, Medallion architecture, or Lakehouse design patterns.
- Hands-on experience with Microsoft Fabric and Azure Purview.
- 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
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