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.

Skills and experience

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.

Apply

Vacancy posted 16 hours ago

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