

Largeton Group
Lead Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Architect, onsite in Tallahassee, FL, for 12 months at a pay rate of "unknown." Requires a Bachelor’s degree, 7+ years in enterprise database management, extensive Azure experience, and strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
May 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tallahassee, FL
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🧠 - Skills detailed
#Data Lineage #Data Engineering #Data Governance #Documentation #Database Systems #Data Warehouse #"ETL (Extract #Transform #Load)" #Physical Data Model #Python #Data Modeling #Cloud #Spark (Apache Spark) #Azure #Data Architecture #Data Mapping #ADF (Azure Data Factory) #Databricks #Synapse #Azure cloud #Metadata #Strategy #S3 (Amazon Simple Storage Service) #Computer Science #SQL (Structured Query Language) #Migration #Data Mart #Azure Data Factory #Data Quality #Scala #Security #Compliance #AWS (Amazon Web Services)
Role description
Job Summary For Lead Data Architect
• Position: Lead Data Architect
• Location: Onsite, Tallahassee, FL
• Duration: 12 months (07/01/2026 06/30/2027)
Summary Of Responsibilities
• Lead the development and execution of enterprise-wide data architecture strategy for the OBIS Modernization Project.
• Oversee design and maintenance of operational data stores, data warehouses, and data marts.
• Maintain and enhance logical and physical data models; manage source-to-target data mappings.
• Direct, mentor, and allocate resources among a team of Data Architects and technical staff.
• Establish and enforce data modeling standards, governance practices, and documentation consistency.
• Define and implement metadata standards, naming conventions, data lineage, and modeling principles.
• Lead enterprise data quality and compliance initiatives.
• Collaborate with engineering, analytics, business leaders, solution architects, and program managers to design scalable, cloud-based data platforms.
• Guide ETL optimization, data loading, and recovery strategies, especially within Azure cloud environments.
• Evaluate emerging technologies for modernization and scalability.
• Maintain audit-ready documentation, and review/approve data models, mappings, and migration strategies.
• Ensure regulatory and governance compliance (including CJI, HIPAA, PII if possible).
Required Qualifications
• Bachelor s degree in Computer Science, Information Systems, or related field.
• 7+ years managing large-scale enterprise database systems and technical teams.
• Extensive experience in data modeling, cloud data ecosystems, and modern data engineering.
• 7+ years of ETL/data engineering experience.
• 3+ years hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Purview.
• Proficiency in Spark, Python, Scala, and advanced SQL development/optimization.
• Experience with data governance, security protocols, and Azure RBAC.
• Ability to build scalable and resilient ETL architectures.
• Strong communication and stakeholder management skills.
Preferred Qualifications
• Experience with AWS Data Warehouse, S3, and DataSync.
• Knowledge of CJI, HIPAA, and PII compliance standards.
• Microsoft certifications (Azure Data Engineer, Solutions Architect, Fundamentals) and Databricks Data Engineer Associate certification preferred.
Work Environment
• Fully onsite at Carlton Building, 501/315 South Calhoun Street, Tallahassee, FL.
• Level II background check and security awareness training required.
Job Summary For Lead Data Architect
• Position: Lead Data Architect
• Location: Onsite, Tallahassee, FL
• Duration: 12 months (07/01/2026 06/30/2027)
Summary Of Responsibilities
• Lead the development and execution of enterprise-wide data architecture strategy for the OBIS Modernization Project.
• Oversee design and maintenance of operational data stores, data warehouses, and data marts.
• Maintain and enhance logical and physical data models; manage source-to-target data mappings.
• Direct, mentor, and allocate resources among a team of Data Architects and technical staff.
• Establish and enforce data modeling standards, governance practices, and documentation consistency.
• Define and implement metadata standards, naming conventions, data lineage, and modeling principles.
• Lead enterprise data quality and compliance initiatives.
• Collaborate with engineering, analytics, business leaders, solution architects, and program managers to design scalable, cloud-based data platforms.
• Guide ETL optimization, data loading, and recovery strategies, especially within Azure cloud environments.
• Evaluate emerging technologies for modernization and scalability.
• Maintain audit-ready documentation, and review/approve data models, mappings, and migration strategies.
• Ensure regulatory and governance compliance (including CJI, HIPAA, PII if possible).
Required Qualifications
• Bachelor s degree in Computer Science, Information Systems, or related field.
• 7+ years managing large-scale enterprise database systems and technical teams.
• Extensive experience in data modeling, cloud data ecosystems, and modern data engineering.
• 7+ years of ETL/data engineering experience.
• 3+ years hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Purview.
• Proficiency in Spark, Python, Scala, and advanced SQL development/optimization.
• Experience with data governance, security protocols, and Azure RBAC.
• Ability to build scalable and resilient ETL architectures.
• Strong communication and stakeholder management skills.
Preferred Qualifications
• Experience with AWS Data Warehouse, S3, and DataSync.
• Knowledge of CJI, HIPAA, and PII compliance standards.
• Microsoft certifications (Azure Data Engineer, Solutions Architect, Fundamentals) and Databricks Data Engineer Associate certification preferred.
Work Environment
• Fully onsite at Carlton Building, 501/315 South Calhoun Street, Tallahassee, FL.
• Level II background check and security awareness training required.






