Qualifications

• 5-7 years experience in data and analytics architecture, particularly in client-facing roles.
• Strong hands-on knowledge of Azure Databricks, Microsoft Fabric, Power BI, and Azure platform.
• Proficiency in SQL and Python or PySpark, with an understanding of data patterns like lakehouse and medallion architecture.
• Deep familiarity with data governance, security, and quality standards.
• Exceptional communication skills and ability to lead workshops and manage stakeholders.
• Ability to translate business needs into actionable data architecture and delivery strategies.

Responsibilities

• Lead assessments and workshops to define data architecture and modernization strategies.
• Design scalable and secure data solutions using Azure services and Databricks.
• Establish standards for data integration, modeling, governance, and security.
• Implement semantic models and CI/CD practices within data platforms.
• Direct teams through architecture reviews, optimization, and troubleshooting.
• Support pre-sales activities with proposals and demonstrations related to data solutions.
• Mentor team members to enhance Microsoft and Databricks capabilities within the company.

Benefits

• Opportunity to work on cutting-edge technologies like machine learning and generative AI.
• Collaborative environment that encourages mentorship and professional growth.
• Engagement with a diverse range of clients and projects.
• Focus on modernizing and innovating data strategies across industries.