Key Responsibilities: 

• Design and Implement Enterprise Architecture: 

• Develop and maintain the overall data architecture strategy using Microsoft Azure. 

• Design data models, database schemas, and data warehouses to support business needs. 

• Ensure data architecture aligns with business goals and regulatory requirements. 

• Data Management: 

• Oversee data integration, data migration, and data quality initiatives. 

• Implement and manage data governance policies and procedures. 

• Monitor and optimize data systems for performance and scalability. 

• Team Leadership: 

• Manage and mentor a team of data engineers and analysts. 

• Assign tasks, set goals, and ensure project milestones are met. 

• Foster a collaborative and innovative team environment. 

• Collaboration and Communication: 

• Work closely with business stakeholders to understand data requirements. 

• Translate business needs into technical specifications. 

• Present data architecture plans and progress to executive teams. 

• Security and Compliance: 

• Ensure data security and compliance with relevant regulations (e.g., PII, GDPR, HIPAA). 

• Implement data privacy measures and access controls. 

Qualifications: 

• Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field. Master’s degree preferred. 

• Microsoft Certified:  Azure Data Engineer, Azure Solution Architect,  etc 

• Experience: 

• Minimum of 10 years of experience in custom developed applications, data architecture and data management. 

• At least 5 years of experience in a managerial role. 

• Technical Skills: 

• Proficiency in Microsoft Azure data services (e.g., Azure Functions, Azure Logic Apps, Azure SQL Database, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics). 

• Experience building Azure Functions and Logic Apps 

• Experience with deploying solutions using automated Azure DevOps pipelines 

• Experience with data modeling, database design, and data warehousing. 

• Strong knowledge of SQL and NoSQL databases. 

• Familiarity with cloud data platforms and big data technologies. 

• Data Modeling (e.g. Enterprise Data Warehouses, Star Schemas, etc) 

• Data Science 

• Soft Skills: 

• Excellent leadership and team management skills. 

• Strong communication and interpersonal skills. 

• Ability to work collaboratively with cross-functional teams. 

Benefits: 

• Competitive salary 130-150k and performance bonuses. 

• Health, dental, and vision insurance. 

• Retirement savings plan with company match. 

• Professional development opportunities.