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Closed on July 6, 2026.
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Data Engineer / Architect III - Finance Domain
Analytics
Business Analytics
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Cloud
Cloud Architecture
Cloud Platform
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Management
Data Modeling
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Engineer
ETL
Finance Architecture
Finance Transformation
Financial Analytics
Integration
Power BI
Snowflake
SQL
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Job Description
Location: Cincinnati, Ohio (onsite). Compensation: USD 50 - 55 per hour. Employment: W2, full-time on a long-term contract. This Finance domain opportunity from Hudson Manpower pairs hands-on engineering with architectural leadership to drive a large scale M&A data integration program, delivering scalable, governance-driven data platforms that support analytics, reporting, and regulatory compliance.
Benefits
- Medical, Dental & Vision Insurance
- 401(k)
- Paid Time Off
- Professional Development Opportunities
- Additional Benefits Package
Responsibilities
- Design and deploy scalable enterprise data architectures to support analytics and operations.
- Build and optimize cloud-native ELT/ETL pipelines using Snowflake and DBT.
- Develop reusable transformation frameworks and enterprise data models.
- Create scalable solutions for analytics, reporting, and operational data needs.
- Construct high-performance analytical and operational data structures.
- Support data integration initiatives related to mergers and acquisitions.
- Analyze and consolidate disparate data sources from acquired organizations.
- Standardize data definitions, mappings, and transformation logic across the enterprise.
- Ensure accurate migration and reconciliation of financial and operational data.
- Support enterprise-wide data consolidation efforts and data governance efforts.
- Implement data validation, reconciliation processes, and data lineage practices.
- Support governance, auditability, and regulatory reporting requirements.
- Improve platform reliability, scalability, and maintainability; assist with disaster recovery planning.
- Collaborate with Enterprise Architects, Data Engineers, Business Analysts, Reporting Teams, Data Scientists, and Business Stakeholders.
- Translate business requirements into scalable technical solutions and participate in architecture reviews and planning sessions.
- Evaluate emerging technologies and engineering best practices to inform roadmaps.
Requirements
- Snowflake
- DBT
- Advanced SQL
- Data Warehousing
- ELT / ETL Engineering
- Enterprise Data Modeling
- Data Architecture
- Cloud Data Platforms
- Data Integration
- Data Transformation Frameworks
- 6+ years of Data Engineering or Data Architecture experience
- Strong hands-on Snowflake experience
- Advanced SQL development and performance optimization expertise
- Experience building DBT transformation frameworks
- Strong understanding of Data Warehousing concepts
- Experience designing scalable ELT/ETL pipelines
- Experience with relational and non-relational databases
- Strong knowledge of enterprise data modeling and analytics architecture
Technical Environment
- Cloud Data Platform: Snowflake
- Data Transformation: DBT; ELT / ETL Frameworks
- Databases: Relational and Non-Relational
- Analytics & Reporting: SQL; Power BI
- Architecture: Enterprise Data Modeling; Data Warehousing; Data Governance
- Additional Technologies: Java / J2EE
What success looks like
- Deliver scalable and reliable enterprise data solutions that support business needs
- Successfully integrate data across merger and acquisition initiatives
- Build optimized Snowflake and DBT transformation frameworks
- Enhance enterprise reporting, analytics, and governance capabilities
- Maintain regulatory-quality data management and strong operational excellence
Ideal Candidate Profile
- Highly analytical and detail-oriented with a disciplined approach
- Experience in regulated, enterprise environments
- Strong hands-on engineering and architectural capabilities
- Proven ability to solve complex data integration challenges
- Expertise with modern cloud data platforms and transformation tools
- Ability to balance technical execution with business aims
- Collaborates effectively with technical and non-technical stakeholders
Important Notes
- W2 Full-Time Opportunity
- Onsite Role – Cincinnati, Ohio
- Strong Snowflake Experience Required
- DBT & Advanced SQL Expertise Required
- Financial Services Experience Preferred
- Enterprise Data Architecture & M&A Integration Focus
- Submission Deadline: June 2, 2026
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