Database Architect - (Banking/Finance)

Role : Database Architect

Location : Lincoln, NE (Onsite)

Type: Contract

Skills : DB2, SQL,ETL

Key Responsibilities 

• Define and lead the enterprise database architecture strategy across multiple product lines and platforms. 

• Design scalable, secure, high-performing data architectures that support modern application development practices. 

• Partner closely with development teams to guide database design, optimization, and schema evolution. 

• Drive the migration of legacy onprem databases to modern database platforms (cloud or hybrid). 

• Evaluate, recommend, and implement cloud-based database technologies, including managed database services (Azure, AWS, Google Cloud Platform, etc.). 

• Collaborate with cross-functional teams (DevOps, Infrastructure, Product, QA) to define best practices and standards for data management. 

• Establish data governance, data modeling, indexing, and performance tuning strategies. 

• Develop and maintain documentation including data flow diagrams, logical and physical models, and architectural blueprints. 

• Ensure data security, compliance, and resilience across systems, environments, and regions. 

• Provide technical mentorship to developers and database engineers. 

• Support capacity planning, incident troubleshooting, and root cause analysis for database-related issues.

Required Qualifications 

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). 

• 10+ years of experience in database architecture, engineering, or related roles. 

• Strong expertise with cloud database platforms, such as:  

• Azure SQL 

• Azure PostgreSQL 

• Expertise with multiple database engines, such as:  

• DB2 (required; IBM iSeries experience strongly preferred) 

• SQL Server 

• PostgreSQL 

• MySQL 

• NoSQL databases 

• Hands-on experience with database migration and modernization, including replatforming and refactoring legacy systems. 

• Strong SQL design, performance tuning, normalization, and indexing skills. 

• Experience with data modeling tools and methodologies (ERD, dimensional modeling, domain-driven design concepts). 

• Understanding of ETL/ELT, data integration, and streaming technologies  

• Excellent communication skills and ability to work across technical and non-technical teams.