Azure Data Architect
Purple Drive
Overview: Job Description: About the job you're considering We are seeking an accomplished Senior Data & AI Architect to lead the design and delivery of enterprise-scale data engineering and AI-driven solutions. This role requires deep expertise in Azure cloud architecture, Databricks, modern data ingestion frameworks, Building Canonical Data Models, and Medallion architecture , along with strong leadership and communication skills. The ideal candidate will define enterprise data standards, architect scalable platforms, and collaborate across global teams to deliver high-quality data products. Your role:
- Lead architecture and solution design for large-scale Data & AI platforms on Azure.
- Design and implement data acquisition frameworks using CDC, batch, micro-batch, and real-time streaming patterns with Spark.
- Architect and manage data storage solutions using ADLS Gen2 , domain/sub-domain-based storage, and data product containers.
- Build and govern Medallion (Bronze/Silver/Gold) data layers for enterprise analytics and AI use cases.
- Provide hands-on technical leadership using Python, PySpark, and Databricks Notebooks .
- Define and enforce data architecture standards, reference architectures, and design patterns .
- Design and oversee data governance, security, and access control models , including Unity Catalog.
- Integrate CI/CD pipelines , GitHub workflows, and automated deployment practices.
- Leverage AI-based code assistance tools (e.g., GitHub Copilot, Databricks Genie) to improve developer productivity and code quality.
- Collaborate effectively with onshore and offshore teams , mentoring engineers and architects.
- Communicate technical solutions clearly to business stakeholders, architects, and leadership.
- 20+ years of experience delivering Data & AI-driven projects.
- 10+ years of experience in solution architecture, primarily on cloud platforms .
- 7+ years of hands-on experience in:
- Data acquisition framework design
- Spark-based ingestion (CDC, batch, streaming, micro-batch)
- Handling structured and unstructured data
- Azure Data Lake Storage (ADLS Gen2) and cloud storage architectures
- Azure cloud platform and Databricks (including Unity Catalog)
- 5+ years of hands-on experience with Python, PySpark, Databricks Notebooks, GitHub, and CI/CD pipelines .
- 2+ years of experience leveraging AI-powered development tools.
- Strong understanding of enterprise data governance, security, and access management.
- Experience leading enterprise data modernization initiatives.
- Exposure to AI/ML enablement through data platforms.
- Prior experience in highly regulated or large-scale enterprise environments.
Vacancy posted 3 days ago
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