Senior Data Engineer & Architect

Findorff Current Openings•Milwaukee, WI

About The Position

Findorff is seeking a Senior Data Engineer & Architect to lead the strategy, design, and development of enterprise data solutions supporting business operations, analytics, artificial intelligence initiatives, and data-driven decision-making. The role is responsible for creating scalable, secure, and reliable data architecture and partnering with stakeholders throughout the organization to unlock the value of enterprise data. The position involves evolving Findorff’s enterprise data platform, establishing architecture and integration best practices, and building and supporting data pipelines, ETL processes, APIs, and cloud-based integrations. The role also champions data governance, security, quality, and ownership standards and helps business teams develop solutions for reporting, analytics, process improvement, and AI. Data platforms and integrations are monitored and improved through testing, observability, automation, troubleshooting, and performance optimization. The role is based in or requires willingness to work from Madison or Milwaukee, Wisconsin, with a hybrid or remote arrangement indicated. Findorff describes its workplace as employee-owned and collaborative, with technology working closely with business teams. The company emphasizes respect, accountability, innovation, continuous improvement, and equal employment opportunity.

Requirements

At least 5 years of experience in data engineering, data architecture, database development, data integration, or a related field.
Demonstrated success designing and supporting enterprise data platforms, data warehouses, lakehouses, and cloud-based data solutions.
Advanced expertise in SQL, Python, data modeling, relational databases, and modern integration practices.
Experience building and maintaining scalable data pipelines, ETL processes, and enterprise integrations across multiple business applications.
Strong understanding of data governance, quality management, security, and architecture best practices.
Ability to partner with technical and non-technical stakeholders and translate business needs into practical data solutions.
Located in or willing to work from Madison or Milwaukee, Wisconsin.

Responsibilities

Develop and maintain scalable data architectures, models, standards, and integration frameworks for operational and analytical business needs.
Lead the evolution of Findorff’s enterprise data platform and establish best practices for future growth.
Design, develop, and support data pipelines, ETL processes, APIs, and cloud-based integrations connecting critical business systems.
Promote data integrity, governance, security, and ownership standards.
Identify improvements to enterprise data consistency, reliability, accessibility, and trust.
Partner with business leaders, analysts, and application owners to understand requirements and define solution strategies.
Support reporting, analytics, process improvement, and artificial intelligence initiatives.
Monitor, troubleshoot, test, and continuously improve data platforms and integrations using observability and automation.
Optimize platform performance and ensure dependable access to critical business information.