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 No

SQL 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 Power

BI.
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.