Description

You will design and implement enterprise-grade data architecture solutions supporting large-scale data processing and analytics.

This role is on-site.

Responsibilities

• Design and implement scalable data platforms across modern cloud environments.
• Develop end-to-end data pipelines and enable platform capabilities for analytics and reporting.
• Establish governance frameworks for data quality, lineage, and stewardship.
• Drive modernization initiatives, introducing advanced data engineering practices.
• Ensure architecture aligns with long-term business strategy and technology standards.

Required Skills

• 10+ years of experience in data architecture or a related field.
• Expertise in Databricks and PySpark for large-scale data processing.
• Proficiency in Azure cloud services, including Azure Data Factory and Synapse.
• Strong command of SQL for complex data transformations and modeling.
• Experience building scalable data pipelines using Python.
• Familiarity with Apache Spark distributed processing and performance optimization.
• Knowledge of enterprise security standards and data governance practices.

Preferred Skills

• Experience with Key Vault for secure credential management.
• Familiarity with Generative AI applications in data platforms.

Key Skills

Education

Any Graduate