Data Engineer IV

Farm Credit Financial Partners•Springfield, MA

About The Position

The Data Engineer IV transforms data so it can be readily analyzed and expands and optimizes data platforms and pipelines for Association partners. The role primarily works with project teams to develop new data platforms in support of strategic initiatives aligned with business and enterprise strategies. It leads enterprise-scale data engineering projects in a matrix organization and provides strategic direction for the design, enhancement, and long-term support of data platforms. The role also advances organizational data engineering strategy, including process automation, improved data delivery, and infrastructure redesign for scalability. It oversees engineering standards and contributes to enterprise data governance in partnership with senior leaders and stakeholders. The position is designated as either hybrid—with work from home on Mondays and Fridays and office work on Tuesdays, Wednesdays, and Thursdays—or remote, with work entirely offsite. Exceptions may be made based on business needs, and the company may change the designation. All roles require periodic travel to Springfield, Massachusetts, for company meetings, events, and team activities. The position requires attendance at work-related functions, extended computer and desk work, and the ability to work scheduled hours and overtime as needed.

Requirements

Bachelor’s degree in computer science or management information systems (MIS).
At least 10 years of experience in data modeling and cloud technologies.
Expertise with the Azure technology stack, including Databricks, Data Factory, SQL, Python, and Power BI.
At least 2 years of experience leading large, distributed technical teams and actively interfacing with senior leadership teams.
Ability to work with Agile and Waterfall methodologies.
Strong organizational, analytical, and communication skills.
Proficiency with Microsoft Office Suite.
Strong customer service focus, treating data consumers as customers.
Familiarity with software development best practices.
Knowledge and proficiency in artificial intelligence concepts and technologies, including or similar to ChatGPT, Claude, Windsurf, Perplexity AI, Grok, and Gemini.
Ability to travel occasionally as required, including periodic travel to Springfield, Massachusetts, for company meetings, events, and team activities.
Ability to work scheduled hours and overtime as needed.
Ability to work at a desk and use a computer for extended periods; type efficiently and operate general office equipment.
Ability to lift, carry, and move objects up to 10 pounds occasionally.
Ability to work in an office setting with moderate noise levels.
Ability to concentrate on details, manage multiple tasks and deadlines accurately, problem-solve, make sound decisions, manage job-related stress, communicate clearly in writing and verbally, and work collaboratively.

Responsibilities

Lead and architect an enterprise-scale data engineering project team in a matrix organization.
Provide strategic direction for the design, enhancement, and long-term support of data platforms.
Influence data engineering processes, including automating manual processes, optimizing data delivery, and redesigning infrastructure for scalability.
Build and optimize infrastructure for extracting, transforming, and loading data from a wide variety of sources.
Oversee engineering standards through code reviews to maintain quality and best practices.
Shape enterprise-wide data governance policies with senior leadership and stakeholders, covering data quality, data management, data policies, business process management, and data-related risk management.
Coach and mentor junior engineers.
Communicate technical direction to senior leadership and cross-functional stakeholders.
Foster an innovative team culture and process improvement during development.
Perform other related duties as assigned.