Finance Transformation Engineer Jobs

1 job found

1mo ago

Data Engineer / Architect III - Finance Domain

Hudson Manpower Cincinnati, OH

Cincinnati, OH

1mo ago Closed

$50 - $55/hr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 6, 2026).

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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