Senior Developer

Senior Developer on Brooksource's Data team focusing on metadata management, data preservation, and AI powered search/classification for archival content; collaborate with the Archivist and Archives Administrator to enable advanced analytics and agentic capabilities.

Responsibilities

• Lead metadata governance and enrichment across key data stores including SharePoint, Distributed File Systems (DFS), and Preservica.
• Define and drive the technical roadmap for data governance and compliance of archived project data and content.
• Manage archiving and retention policies to preserve data integrity and ensure regulatory compliance.
• Develop classification schemes to support RBAC and ABAC access controls.
• Design, build, and maintain efficient data pipelines using SQL and Python.
• Ingest and harmonize data from sources such as Hexagon, Bentley, and Autodesk Construction Cloud, tagging metadata to produce unified data products.
• Partner with domain teams to identify, extract, and structure data for analytics and product development.
• Apply OCR techniques to extract structured data from unstructured sources at scale.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for content classification.
• Own the technical experience of the archive and classification agents.
• Design and assess Generative AI agents, ensuring output quality, safety, reliability, and groundedness using established evaluation frameworks.

Requirements

• Bachelor's degree in computer science, Data Analytics, Business, or Library Science with 3-5 years of relevant experience.
• 8+ years of professional experience with the tools and techniques described.
• Proficiency in Python, .NET/C#, or JavaScript.
• Extensive API development experience and familiarity with Postman.
• Demonstrated experience building and maintaining data pipelines with SQL and Python.
• Strong understanding of machine readable metadata standards and taxonomies.
• Experience building, evaluating, and maintaining AI/ML models and agents.
• Experience developing embeddings or vector stores for unstructured content.

Technologies

• SharePoint
• Distributed File Systems (DFS)
• Preservica
• Hexagon
• Bentley
• Autodesk Construction Cloud (ACC)
• SQL
• Python
• .NET/C#
• JavaScript
• Postman
• Optical Character Recognition (OCR)

Education & Experience

• Bachelor's degree in computer science, Data Analytics, Business, or Library Science with 3-5 years of related experience.
• 8+ years of professional experience with relevant tools and techniques.

Preferred Qualifications

• Experience working with data within the Architecture, Engineering, and Construction (AEC) industry.
• Experience with AEC SaaS platforms such as Hexagon, Bentley, and Autodesk Construction Cloud (ACC).