Finance Architecture

Finance Architecture Data Jobs

2 jobs 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

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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1mo ago

Senior Financial Data & Analytics Engineer

Stony Brook University Stony Brook, NY

Stony Brook, NY

1mo ago Closed

$110k - $120k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Stony Brook University is seeking a Senior Financial Data & Analytics Engineer to design, build, and maintain enterprise financial data infrastructure and analytics solutions for the School of Medicine.