

SR Talent Solution Inc.
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect in NYC, NY, on a long-term contract. Requires 5+ years in data architecture, expertise in AWS RDS and Microsoft SQL Server, strong SQL performance tuning, and familiarity with Java. Previous Amazon experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
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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
New York City Metropolitan Area
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🧠 - Skills detailed
#Databases #SQL Server #RDS (Amazon Relational Database Service) #JPA (Java Persistence API) #Microsoft SQL Server #Indexing #JDBC (Java Database Connectivity) #Normalization #MS SQL (Microsoft SQL Server) #Hibernate #Database Design #Data Architecture #Data Modeling #Database Administration #Monitoring #Microsoft SQL #SQL (Structured Query Language) #Cloud #AWS RDS (Amazon Relational Database Service) #Documentation #Java #Spring Boot #AWS (Amazon Web Services)
Role description
Position: Data Architect
Location: NYC, NY-Onsite
Duration:Long Term
Zoom then in person
• Strong preference for candidates who have worked at Amazon
• AWS RDS (Managed SQL Server) experience
• Microsoft SQL Server expertise
• Heavy SQL performance tuning experience (critical requirement)
• The candidate should be able to read and understand Java code
• 5+ years in Data Architecture/Database Administration
• Expert-level SQL Server and AWS RDS knowledge
• Extensive performance tuning and query optimization experience
• Experience reverse engineering legacy databases
• Strong data modeling skills
• Ability to work independently with minimal documentation
• Previous Amazon experience is highly preferred.
•
• Required Qualifications
•
• - 5+ years of experience in database administration, data architecture, or related roles.
- Strong expertise in relational database design, SQL optimization, and performance tuning.
- Proven experience reverse engineering undocumented databases and legacy systems.
- Deep understanding of ER modeling, normalization, indexing, and join optimization.
- Ability to infer business logic from schemas, data, and application behavior.
- Read-level Java proficiency with the ability to understand Spring/Spring Boot, Hibernate/JPA, JDBC, and service-layer database interactions.
- Experience with SQL Server, AWS RDS (Managed MS SQL Server), or similar DBMS platforms.
- Familiarity with schema versioning, CI/CD, cloud database platforms, and monitoring tools preferred.
- Strong analytical, investigative, and documentation skills.
Position: Data Architect
Location: NYC, NY-Onsite
Duration:Long Term
Zoom then in person
• Strong preference for candidates who have worked at Amazon
• AWS RDS (Managed SQL Server) experience
• Microsoft SQL Server expertise
• Heavy SQL performance tuning experience (critical requirement)
• The candidate should be able to read and understand Java code
• 5+ years in Data Architecture/Database Administration
• Expert-level SQL Server and AWS RDS knowledge
• Extensive performance tuning and query optimization experience
• Experience reverse engineering legacy databases
• Strong data modeling skills
• Ability to work independently with minimal documentation
• Previous Amazon experience is highly preferred.
•
• Required Qualifications
•
• - 5+ years of experience in database administration, data architecture, or related roles.
- Strong expertise in relational database design, SQL optimization, and performance tuning.
- Proven experience reverse engineering undocumented databases and legacy systems.
- Deep understanding of ER modeling, normalization, indexing, and join optimization.
- Ability to infer business logic from schemas, data, and application behavior.
- Read-level Java proficiency with the ability to understand Spring/Spring Boot, Hibernate/JPA, JDBC, and service-layer database interactions.
- Experience with SQL Server, AWS RDS (Managed MS SQL Server), or similar DBMS platforms.
- Familiarity with schema versioning, CI/CD, cloud database platforms, and monitoring tools preferred.
- Strong analytical, investigative, and documentation skills.






