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Closed on July 6, 2026.
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Data Engineer / Architect III - Finance Domain
Analytics
Business Analytics
Business Intelligence
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
ETL
Finance Architecture
Finance Transformation
Financial Analytics
Integration
Power BI
Snowflake
SQL
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Job Description
Hudson Manpower is seeking a Data Engineer / Architect III for the Finance domain to lead a large-scale M&A data initiative. The role emphasizes building scalable enterprise data architectures and cloud-native data pipelines, with a focus on regulatory-grade data integration and robust analytics support. This position blends hands-on engineering with architectural leadership, requiring expertise in Snowflake, DBT, advanced SQL, data warehousing, and enterprise data modeling.
Responsibilities
- Design and implement scalable enterprise data architectures.
- Build and optimize cloud-native ELT/ETL pipelines using Snowflake and DBT.
- Develop reusable transformation frameworks and enterprise data models.
- Design scalable solutions supporting analytics, reporting, and operational data needs.
- Create high-performance analytical and operational data structures.
- Support enterprise merger and acquisition data integration initiatives.
- Analyze and consolidate disparate data sources from acquired organizations.
- Standardize enterprise data definitions, mappings, and transformation logic.
- Ensure accurate migration and reconciliation of financial and operational data.
- Support enterprise-wide data consolidation efforts.
- Implement data validation and reconciliation processes.
- Data Lineage
- Governance
- Auditability
- Regulatory Reporting Requirements
- Improve platform reliability, scalability, and maintainability.
- Assist with disaster recovery and operational resiliency planning.
- Partner with: Enterprise Architects, Data Engineers, Business Analysts, Reporting Teams, Data Scientists, Business Stakeholders
- Translate business requirements into scalable technical solutions.
- Participate in: Architecture Reviews, Agile Ceremonies, Technical Planning Sessions
- Evaluate emerging technologies and engineering best practices.
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
Technologies
- Snowflake
- DBT
- SQL
- Power BI
- Java / J2EE
Benefits
- Medical, Dental & Vision Insurance
- 401(k)
- Paid Time Off
- Professional Development Opportunities
- Additional Benefits Package
Employment Type
W2 – Full Time
Location
Cincinnati, Ohio (Onsite)
Industry
Financial Services / Banking
Contract Type
Long-Term Contract
Submission Deadline
June 2, 2026
What Success Looks Like
- Deliver scalable and reliable enterprise data solutions.
- Successfully integrate data across M&A initiatives.
- Build optimized Snowflake and DBT transformation frameworks.
- Improve enterprise reporting, analytics, and governance capabilities.
- Ensure regulatory-quality data management and operational excellence.
Technical Environment
- Cloud Data Platform: Snowflake
- Data Transformation: DBT; ELT / ETL Frameworks
- Databases: Relational Databases; Non-Relational Databases
- Analytics & Reporting: SQL; Power BI (Preferred)
- Architecture: Enterprise Data Modeling; Data Warehousing; Data Governance
- Additional Technologies: Java / J2EE (Preferred)
Ideal Candidate Profile
- Be highly analytical and detail-oriented.
- Have experience working in regulated enterprise environments.
- Possess strong hands-on engineering and architecture skills.
- Excel at solving complex data integration challenges.
- Have expertise with modern cloud data platforms and transformation tools.
- Balance technical execution with business objectives.
- Collaborate 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
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