What are the responsibilities and job description for the Senior Enterprise Azure Data Architect position at Infolob Global, Inc.?
Job Details
Position: Senior Enterprise Azure Data Architect
Location: Atlanta, GA
Duration: Long Term
Rate: $ Open/Hour
Experience Level: 12 to 15 Years of Experienced resource
**NEED LOCAL RESOURCE WHO CAN WORK ONSITE IN ATLANTA, GA, TX ***
Enterprise Azure Data Architect
Seeking a visionary Enterprise Data Architect to spearhead our organization s data modernization efforts. This pivotal role involves designing and implementing robust, scalable and secure data architecture that aligns with our business objectives and supports advanced analytics, enable AI/ML capabilities and data-driven decision-making. The ideal candidate will possess a blend of strategic thinking, technical expertise and leadership skills to transform our data landscape especially in the context of integrating diverse data systems.
Key Responsibilities
Data Architecture, Strategy and Design
Develop and implement a comprehensive enterprise data architecture strategy that supports current and future business needs.
Design scalable data models (conceptual, logical and physical) to support data warehousing, data lakes and real-time analytics.
Establish data standards, guidelines and best practices for data modelling, metadata management and data integration.
Data Integration Leadership
Lead the integration of disparate data systems resulting from mergers and acquisitions, ensuring seamless data consolidation and consistency.
Address challenges related to mismatched systems, data silos and varying data formats by implementing effective data mapping and transformation strategies.
Collaborate with cross-functional teams to ensure unified data governance and quality across the organization.
Data Governance and Quality
Implement data governance frameworks to ensure data accuracy, consistency, security and compliance with relevant regulations.
Define data ownership, stewardship and accountability across the organization
Understanding of predictive modeling, NLP and text analysis, Machine Learning
Ability to implement common data management and reporting technologies, as well as the basics of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
Data mining, visualization, and Machine Learning skills
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