Data Engineer IV

Farm Credit Financial Partners; Springfield (MA); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Tuition reimbursement

401(k) matching

Company-sponsored trainings and certs

Job summary

Farm Credit Financial Partners seeks a senior data platform leader to transform data, architect enterprise-scale pipelines, and guide governance and standards.

You will lead cross-functional teams, collaborate with senior stakeholders, and drive automation and scalable infrastructure while delivering data products that support business strategy.

Qualifications

• Bachelor’s degree in computer science or MIS.
• 10+ years of experience in data modeling and cloud technologies.
• Expertise in the Azure technology stack: Databricks, Data Factory, SQL, Python, and Power BI.

Responsibilities

• Lead and architect an enterprise-scale data engineering project team in a matrix organization.
• Provide strategic direction for design, enhancement, and long-term support of data platforms.
• Drive organizational data engineering strategy by automating manual processes and optimizing data delivery.

Skills

Azure

Databricks

Data Factory

SQL

Python

Power BI

2+ years leadership

Agile & Waterfall

Office Suite

AI concepts

Education

Bachelor's degree in computer science or MIS

Tools

Databricks

SQL

Power BI

Job description

Farm Credit Financial Partners offers hybrid and remote work options, competitive earnings, and development support through company-sponsored trainings and certifications. You’ll also have access to tuition reimbursement and generous 401(k) matching while helping design and scale enterprise data platforms that support business and enterprise strategies.

What you’ll do

In this role, you will transform data for analysis, expand and optimize data and data pipelines for association partners, and lead the development of new data platforms aligned to business and/or enterprise strategy. The work includes enterprise-scale architecture, ongoing platform support, data governance, and leading engineering standards and teams.

• 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
• Drive organizational data engineering strategy by influencing process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
• Build and optimize infrastructure for efficient extraction, transformation, and loading (ETL) from a wide variety of data sources
• Oversee engineering standards through code reviews to maintain quality and best practices
• Shape enterprise-wide data governance policies in partnership with senior leadership and stakeholders, including areas such as data quality, data management, data policies, business process management, and risk management
• Perform other related duties as assigned

What you bring

• Bachelor’s degree in computer science or MIS, plus 10+ years of experience in data modeling and cloud technologies
• Expertise in the Azure technology stack: Databricks, Data Factory, SQL, Python, and Power BI (Business Intelligence)
• 2+ years leading large, distributed technical teams and actively interfacing with senior leadership
• Comfort working in Agile and Waterfall methodologies
• Strong organization, analytical, and communication skills
• Proficiency with the Microsoft Office Suite
• Strong customer service focus, treating data consumers as customers
• Familiarity with software development best practices
• Knowledge of Artificial Intelligence concepts and technologies, including or similar to ChatGPT, Claude, Windsurf, Perplexity AI, Grok, and Gemini

Work location and essential functions

This hybrid role is designated to work from home on Mondays and Fridays, and work in the office on Tuesday, Wednesday, and Thursday, with the option for a remote role depending on business needs. The company retains the right to change a position’s designation at any time.

• Ability to report to work in person and attend work-related functions/activities
• Ability to work at a desk and use a computer for extended periods
• Ability to lift, carry, and move objects up to 10 pounds occasionally
• Ability to occasionally travel as required
• Ability to type and utilize various software programs efficiently and operate general office equipment
• Ability to work in an office setting with moderate noise levels
• Ability to work scheduled hours and overtime as needed
• Ability to concentrate and focus on details when reviewing documents and analyzing data
• Ability to manage multiple tasks and deadlines while maintaining accuracy and efficiency
• Ability to problem-solve efficiently and make sound decisions
• Ability to manage job-related stress and interactions with clients, colleagues, or external parties
• Ability to communicate ideas clearly in both verbal and written form
• Ability to work with others in a collegial and collaborative manner
• Additional physical demands may include frequent talking or hearing, occasional push/pull, stoop/kneel, bend/twist, and reach to retrieve or move items in a typical office environment

Reasonable accommodation

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of their position.