Chief Data Solutions Architect

Key Responsibilities:

• Data Architecture:
  • Design, develop, and implement comprehensive enterprise data architectures leveraging Azure and Snowflake platforms.
• Data Transformation & ETL:
  • Oversee complex data transformation and ETL processes for large datasets to ensure data integrity, quality, and performance.
• Customer-Centric Data Design:
  • Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems.
• Data Modeling:
  • Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models to support analytical and operational needs.
• Query Optimization:
  • Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation.
• Data Warehouse Management:
  • Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions.
• Tool Evaluation & Implementation:
  • Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed.
• Business Requirements & Analysis:
  • Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications.
• Reporting & Analytics Support:
  • Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI.
• Software Development Practices:
  • Apply professional software development principles and best practices to data solution delivery.
• Stakeholder Collaboration:
  • Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes.
• Project Management & Multi-tasking:
  • Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively.
• Strategic Thinking & Leadership:
  • Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture.

Required Skills and Qualifications:

• Strong experience with data transformation & ETL on large datasets.
• Experience with designing customer-centric datasets (e.g., CRM, Call Center, Marketing, Offline, Point of Sale).
• 5+ years of experience in Data Modeling (e.g., Relational, Dimensional, Columnar, Big Data).
• 5+ years of experience with complex SQL or NoSQL queries.
• Extensive experience in advanced Data Warehouse concepts.
• Proven experience with industry ETL tools (e.g., Informatica, Unifi).
• Solid experience in Business Requirements definition, structured analysis, process design, and use case documentation.
• Experience with Reporting Technologies (e.g., Tableau, PowerBI).
• Demonstrated experience in professional software development.
• Exceptional organizational skills with the ability to manage multiple simultaneous customer projects.
• Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes.
• Must be self-managed, proactive, and customer-focused.

Benefits:

• Work with leading-edge technology and innovative solutions.
• Opportunity to grow professionally and expand your skill set.
• Collaborative environment that values creativity and teamwork.
• Competitive compensation package.

Others:

• Cloud Platforms: Microsoft Azure
• Data Warehousing: Snowflake
• ETL Methodologies: Extensive experience in ETL processes and tools
• Data Transformation: Large-scale data transformation
• Data Modeling: Relational, Dimensional, Columnar, Big Data
• Query Languages: Complex SQL, NoSQL
• ETL Tools: Informatica, Unifi (or similar enterprise-grade tools)
• Reporting & BI: Tableau, PowerBI