Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 16, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#SQL Server #Indexing #Security #SQL (Structured Query Language) #Normalization #Oracle #Migration #Physical Data Model #Data Architecture #GDPR (General Data Protection Regulation) #Big Data #Data Pipeline #Business Analysis #Agile #Cloud #DAX #Data Integrity #Data Migration #Database Performance #Databases #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #ML (Machine Learning) #Data Governance #BI (Business Intelligence) #Microsoft Power BI #NoSQL #Database Architecture #Scala #AWS (Amazon Web Services) #Compliance #PostgreSQL #Data Modeling #Azure #Data Mining #Visualization
Role description
Job Duties:
Lead client engagement and guide team on performing the analysis of the existing/company being integrated.
Reverse engineering a data model, ETL code, data pipelines. Profiling data.
Develop conceptual, logical, and physical data models.
Define relationships, data flows, and entity relationships to ensure efficient database architecture.
Ensure data integrity, consistency, and normalization.
Gather requirements from stakeholders to align data models with business needs.
Collaborate with business analysts, data architects, and engineers to design solutions.
Present data models and recommendations to clients and stakeholders.
Design and implement data schemas in relational (SQL) and NoSQL databases.
Optimize database performance, indexing, and query efficiency.
Support ETL (Extract, Transform, Load) processes for data migration and integration.
Ensure adherence to industry standards, security policies, and data governance frameworks.
Work with compliance teams to align data models with regulations (GDPR, HIPAA, etc.).
Keep up with industry trends in data modeling, big data, and AI/ML.
Recommend improvements to data architecture for scalability and efficiency.
Basic Qualifications:
8+ years experience in professional services or related field
3+ years experience working with databases such as Oracle, SQL Server, PostgreSQL, and cloud data platforms like AWS, Azure, or Google Cloud.
3+ years of experience working with SQL and data modeling tools.
3+ years of experience working with data visualization tools such as Power BI & DAX Data Modeling
Preferred Qualifications:
Proven work experience as a Data Modeler
Knowledge of database structure systems and data mining
Excellent analytical and problem-solving skills
Understanding of agile methodologies
Undergraduate or Graduate degree preferred
Job Duties:
Lead client engagement and guide team on performing the analysis of the existing/company being integrated.
Reverse engineering a data model, ETL code, data pipelines. Profiling data.
Develop conceptual, logical, and physical data models.
Define relationships, data flows, and entity relationships to ensure efficient database architecture.
Ensure data integrity, consistency, and normalization.
Gather requirements from stakeholders to align data models with business needs.
Collaborate with business analysts, data architects, and engineers to design solutions.
Present data models and recommendations to clients and stakeholders.
Design and implement data schemas in relational (SQL) and NoSQL databases.
Optimize database performance, indexing, and query efficiency.
Support ETL (Extract, Transform, Load) processes for data migration and integration.
Ensure adherence to industry standards, security policies, and data governance frameworks.
Work with compliance teams to align data models with regulations (GDPR, HIPAA, etc.).
Keep up with industry trends in data modeling, big data, and AI/ML.
Recommend improvements to data architecture for scalability and efficiency.
Basic Qualifications:
8+ years experience in professional services or related field
3+ years experience working with databases such as Oracle, SQL Server, PostgreSQL, and cloud data platforms like AWS, Azure, or Google Cloud.
3+ years of experience working with SQL and data modeling tools.
3+ years of experience working with data visualization tools such as Power BI & DAX Data Modeling
Preferred Qualifications:
Proven work experience as a Data Modeler
Knowledge of database structure systems and data mining
Excellent analytical and problem-solving skills
Understanding of agile methodologies
Undergraduate or Graduate degree preferred
