Data Architect
Job Location:
New York City, NY - USA
Monthly Salary:
Not provided by the employer
Posted:
18 June 2026 (30+ days ago)
Application Deadline:
15 September 2026
Vacancies:
1 Vacancy
Job Summary
Seeking an experienced Data Architect to reverse engineer optimize and modernize complex database environments. The role requires the ability to analyze undocumented database instances infer business logic from schema structures and production-representative data reconstruct ER models and redesign architectures for maximum query efficiency scalability and maintainability. Candidate must also be able to read and understand Java services that interact with and maintain the database schema including ORM mappings and transactional behavior.
Key Responsibilities
Reverse engineer database schemas including tables indexes constraints views stored procedures functions and triggers.
Analyze representative production data to identify entities relationships cardinality workflows and usage patterns.
Reconstruct logical and physical ER models and document current-state architectures.
Read and analyze Java application/services code to understand:
Database access patterns
ORM mappings
Transaction logic
Schema maintenance behavior
Redesign schemas and data models for:
Efficient joins
Query optimization
Scalability
Data integrity
Maintainability
Optimize SQL execution plans indexing partitioning and storage strategies.
Administer enterprise databases including backup/recovery replication HA/DR security monitoring upgrades and migrations.
Produce technical documentation ERDs migration plans and architecture recommendations.
Collaborate with engineering and infrastructure teams on database and application performance improvements.
Required Qualifications
5 years of experience in 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
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.
Desired Attributes
Strong systems-thinking and problem-solving abilities.
Comfortable working independently with minimal documentation.
Detail-oriented with a focus on performance and scalability.
Effective communicator capable of translating technical findings into actionable architecture improvements.
Key Responsibilities
Reverse engineer database schemas including tables indexes constraints views stored procedures functions and triggers.
Analyze representative production data to identify entities relationships cardinality workflows and usage patterns.
Reconstruct logical and physical ER models and document current-state architectures.
Read and analyze Java application/services code to understand:
Database access patterns
ORM mappings
Transaction logic
Schema maintenance behavior
Redesign schemas and data models for:
Efficient joins
Query optimization
Scalability
Data integrity
Maintainability
Optimize SQL execution plans indexing partitioning and storage strategies.
Administer enterprise databases including backup/recovery replication HA/DR security monitoring upgrades and migrations.
Produce technical documentation ERDs migration plans and architecture recommendations.
Collaborate with engineering and infrastructure teams on database and application performance improvements.
Required Qualifications
5 years of experience in 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
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.
Desired Attributes
Strong systems-thinking and problem-solving abilities.
Comfortable working independently with minimal documentation.
Detail-oriented with a focus on performance and scalability.
Effective communicator capable of translating technical findings into actionable architecture improvements.