Senior Data and AI Platform Engineer
Builds and maintains Lancaster Bible College's enterprise data and AI platform: governed data pipelines, a data warehouse, analytics/dashboards, secure APIs, and MCP (Model Context Protocol) services that let AI tools safely query institutional data. Day-to-day work is Python, SQL, cloud data platforms, ELT/ETL, systems integration, and AI-assisted development.
- Compensation
- Not disclosed
- Location
- Lancaster Campus - Lancaster, PA 17601
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, IT, or related field, or 5 years of progressively responsible experience in software development, enterprise systems inte
- Demonstrated experience designing and implementing AI-enabled solutions
- Experience integrating APIs, databases, and enterprise systems
- Strong Python development skills; proficiency with SQL, relational data, and analytical query logic
- Git and modern software development practices
- Practical experience with modern development environments and AI-assisted coding tools (e.g., Visual Studio Code with AI extensions)
- REST, JSON, authentication, pagination, and error handling
- Testing, debugging, logging, and documentation
- Familiarity with cloud data platforms, analytical databases, data pipelines, and ELT/ETL practices
- Ability to design and develop services, tools, or internal applications
- Strong systems thinking and investigative problem-solving skills
- Strong understanding of information security, privacy, least privilege, service identities, credential management, and access controls
- Ability to communicate complex technical concepts to technical and non-technical audiences
- Demonstrates Christian character, integrity, humility, and a commitment to a Christ-centered professional environment
- Conducts oneself in a manner consistent with the mission, values, and Statement of Faith of Lancaster Bible College
Nice to have
- Experience in higher education
- Industry-recognized certifications in relevant technical disciplines; commitment to continuous professional development in data and AI
Full description
Job Summary:
The Senior Data and AI Platform Engineer designs, develops, and maintains the College's enterprise data and AI platform. The position integrates institutional systems, develops governed data pipelines, data models, and analytics, creates secure APIs and Model Context Protocol (MCP) services, and implements governed AI-supported applications and workflows. Initial efforts will focus on institutional analytics, with the platform designed to expand into operational, administrative, academic, security, and student success initiatives across the College.
Supervisory Responsibilities:
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None.
Physical Requirements:
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Prolonged periods of sitting at a desk and working on a computer.
Personal Qualities:
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Demonstrates Christian character, integrity, humility, and a commitment to fostering a Christ-centered professional environment.
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Demonstrates a spirit of cooperation, servant leadership, and a willingness to support colleagues, students, and the broader College community.
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Demonstrates intellectual curiosity and a commitment to continuous learning, particularly in emerging technologies, analytics, and artificial intelligence.
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Exercises sound judgment, discretion, and ethical decision-making when handling sensitive institutional data and evaluating technology solutions.
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Demonstrates the ability to translate complex technical concepts into practical solutions that support the College's mission and strategic objectives.
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Demonstrates the desire and ability to disciple, mentor, and positively influence students.
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Conducts oneself in a manner consistent with the mission, values, and Statement of Faith of Lancaster Bible College.
Education and Experience:
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Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Technology, or a related field, or five years of progressively responsible experience in software development, enterprise systems integration, or data engineering, with demonstrated experience designing and implementing AI-enabled solutions. Equivalent combinations of education and experience may be considered.
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Experience in higher education preferred.
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Industry-recognized certifications in relevant technical disciplines are preferred, with a demonstrated commitment to continuous professional development in emerging data and AI technologies.