Senior Enterprise Azure Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Enterprise Azure Data Architect in Atlanta, GA, for a long-term contract. Requires 12-15 years of experience, local on-site presence, and expertise in data architecture, integration, governance, and advanced analytics, including AI/ML capabilities.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 14, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Atlanta, GA
🧠 - Skills detailed
#Compliance #Data Governance #Predictive Modeling #Databases #Visualization #AI (Artificial Intelligence) #Data Accuracy #Data Architecture #Data Mining #ML (Machine Learning) #Metadata #Scala #Security #Leadership #Data Management #"ETL (Extract #Transform #Load)" #Azure #Strategy #NLP (Natural Language Processing) #Data Integration #NoSQL #Data Mapping #Data Lake
Role description

Position: Senior Enterprise Azure Data Architect

Location: Atlanta, GA

Duration: Long Term

Rate: $ Open/Hour

Experience Level: 12 to 15 Years of Experienced resource

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   • NEED LOCAL RESOURCE WHO CAN WORK ONSITE IN ATLANTA, GA, TX

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   • 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

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

Please send your resume in word format, following details to anand.yalla@infolob.com or call me @ 972-845-7069 for more information:

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