Enterprise Data Architect - Azure/ETL

Key Responsibilities:

• Enterprise Data Architecture:

• Design and implement comprehensive enterprise data architectures leveraging Microsoft Azure and Snowflake platforms.

• ETL & Data Transformation:

• Lead and manage large-scale ETL and data transformation processes, ensuring data integrity, consistency, and performance.

• Customer-Centric Data Design:

• Build and optimize data solutions that integrate data from CRM, Call Center, Marketing, Offline, and Point of Sale systems to support customer-focused analytics.

• Advanced Data Modeling:

• Develop and maintain relational, dimensional, columnar, and big data models to support both analytical and operational data needs.

• Query Development & Optimization:

• Write, optimize, and troubleshoot complex SQL and NoSQL queries for efficient data access and processing.

• Data Warehousing:

• Apply advanced data warehousing principles to design and manage scalable, high-performing data warehouse solutions.

• ETL Tool Implementation:

• Evaluate, recommend, and implement enterprise-grade ETL tools such as Informatica and Unifi.

• Business Requirements Analysis:

• Translate business needs into technical specifications through structured analysis, process design, and use case documentation.

• Reporting & Analytics Support:

• Work closely with reporting and analytics teams, providing architectural support for BI tools such as Tableau and PowerBI.

• Software Development Practices:

• Apply professional software development methodologies and best practices to ensure reliable and maintainable data solutions.

• Cross-Functional Collaboration:

• Collaborate with internal sales teams and directly engage with customers to understand their data challenges and guide them to effective solutions.

• Project Management:

• Manage multiple concurrent projects, demonstrating strong organizational and prioritization skills.

• Strategic Leadership:

• Act as a proactive, self-directed leader focused on continuous innovation and improvement in data architecture.