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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer / Architect III - Finance Domain - **Company:** Hudson - **Location:** Cincinnati, OH, United States - **Experience:** Expert - **Salary:** $104,000.0 - $114,400.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Microsoft Excel, Data Analysis, Audit Trail, Cloud Engineering, Databases, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Disaster Recovery, Java Platform Enterprise Edition (J2EE), Operational Data Store, Performance Tuning, Power BI, Cloud Services, Standard Sql, Enterprise Data Management, Cloud Platform System, Sql Optimization, Snowflake, Backend, Data Lineage, Enterprise Integration, Non-relational Database, Data Management - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3b55a00e997f3343 ## About the Role Do you have experience in System performance optimization?, * Snowflake * DBT * Advanced SQL * Data Warehousing * ELT / ETL Engineering * Enterprise Data Modeling * Data Architecture * Cloud Data Platforms * Data Integration * Data Transformation Frameworks Preferred Skills * Financial Services / Banking Experience * Regulatory Reporting * Power BI * Data Governance * M&A Integration Projects * Java / J2EE * Backend Engineering Experience, Technical Requirements * 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. Preferred Qualifications * Financial Services or Banking industry experience. * Regulatory reporting experience. * Power BI or enterprise reporting platform experience. * Exposure to Java, J2EE, or backend development technologies. * Experience supporting large-scale M&A or enterprise integration initiatives., * 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., DBT & Advanced SQL Expertise Required Financial Services Experience Preferred Enterprise Data Architecture & M&A Integration Focus ## Description Seeking a Data Engineer / Architect III to support a large-scale Merger & Acquisition (M&A) initiative within a complex financial services environment. This role focuses on enterprise data architecture, cloud data engineering, scalable ELT/ETL pipelines, and regulatory-grade data integration. The ideal candidate will possess strong expertise in Snowflake, DBT, Advanced SQL, Data Warehousing, and Enterprise Data Modeling. This is a highly visible role requiring both hands-on engineering execution and architectural leadership while partnering with business stakeholders, enterprise architects, analysts, and reporting teams., Enterprise Data Engineering & Architecture * 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. M&A Data Integration * 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. Data Quality & Governance * Implement data validation and reconciliation processes. * Support: + Data Lineage + Governance + Auditability + Regulatory Reporting Requirements * Improve platform reliability, scalability, and maintainability. * Assist with disaster recovery and operational resiliency planning. Leadership & Collaboration * 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. 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) 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. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)