Enterprise Data Architect - Azure / ETL

Key Responsibilities:

• Lead Data Architecture

• Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms.

• Data Transformation & ETL

• Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data quality, consistency, and performance.

• Customer-Centric Data Design

• Design and optimize datasets sourced from CRM, Call Center, Marketing, Offline, and Point of Sale systems to meet customer-centric business needs.

• Data Modeling

• Drive the development and maintenance of relational, dimensional, columnar, and big data models to support both operational and analytical use cases.

• Query Optimization

• Develop and troubleshoot complex SQL and NoSQL queries to ensure optimal performance and data accessibility.

• Data Warehouse Management

• Apply best practices in data warehousing to build and manage scalable, high-performing warehouse environments.

• Tool Evaluation & Implementation

• Evaluate, recommend, and implement industry-standard ETL tools such as Informatica and Unifi to align with enterprise data strategy.

• Business Requirements & Analysis

• Lead structured analysis, use case documentation, and process design to translate business requirements into scalable data solutions.

• Reporting & Analytics Support

• Provide architectural guidance to reporting teams using tools like Tableau and Power BI.

• Software Development Practices

• Apply standard software engineering practices to data solutions, ensuring code quality, version control, and documentation.

• Stakeholder Collaboration

• Collaborate with internal sales teams and engage directly with clients to understand their data challenges and deliver strategic outcomes.

• Project Management & Multi-tasking

• Manage and prioritize multiple concurrent projects, demonstrating strong organizational skills and the ability to meet tight deadlines.

• Strategic Thinking & Leadership

• Lead continuous improvement initiatives, staying proactive, self-managed, and focused on driving business value through data architecture.