What are the responsibilities and job description for the Database Architect position at InSource, Inc?
Database Architect
Reading, PA or Tampa, FL | Hybrid (2 days onsite) | Contract-to-Hire (Direct Hire for the right talent)
Candidates willing to relocate to these areas would be highly considered
W2 only - No visa/No 3rd party candidates
Please send resume to: aghosh@copiastaffing.com
Position Summary
We're seeking a Database Architect to design and govern enterprise database and data platforms supporting transactional, operational, and analytical workloads. This role will be responsible for evaluating technologies, defining data models, and ensuring scalable, high-performing database architecture across the enterprise.
Responsibilities
- Design and review data architectures for enterprise applications and platforms
- Develop conceptual, logical, and physical data models
- Evaluate and recommend appropriate relational, analytical, and NoSQL data platforms
- Support application teams during discovery and solution design phases
- Define standards for database design, performance, scalability, and reliability
- Partner with engineers and architects to support integration, ETL, streaming, and analytics initiatives
- Guide cloud migration and modernization efforts
Qualifications
- 10 years of Database/Data Architecture experience
- Advanced data modeling expertise
- Experience designing architectures across OLTP, ODS, OLAP, Data Warehouse, and Lakehouse environments
- Strong knowledge of Oracle, SQL Server, PostgreSQL, and modern cloud-based data platforms
- Experience with Snowflake and AWS data services
- Understanding of relational and NoSQL databases
- Strong architecture decision-making and consulting skills
- Experience supporting performance, scalability, availability, and disaster recovery requirements
Preferred Experience
- AWS
- Snowflake
- Talend
- Spark
- Python
- Data Governance and MDM exposure
Ideal Candidate
An experienced architect who understands where transactional, operational, analytical, and document-based data platforms fit best and can confidently guide application teams toward the right architectural decisions.