Senior Data Engineer

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AIA Contract Documents

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1888

🏗️ Construction

☁️ SaaS

⚖️ Legal

💰 Private equity on 2020-11

Construction • SaaS • Legal

AIA Contract Documents is the American Institute of Architects' (AIA) cloud platform and publishing arm that provides standardized, case law-backed contract templates and forms for the architecture, engineering, and construction (AEC) industry. For over 135 years it has distributed official AIA-sealed documents covering the full lifecycle of construction projects — from design and bidding to construction, program management, facility management, and building maintenance. The platform offers smart workflow software (Catina/ACD5), subscription and per-use access to 300+ documents, role-based document searching (architect, GC, subcontractor, owner, consultant, facility manager, law firms), training, webinars, case studies, and support to streamline collaboration, ensure compliance, and reduce project risk.

📋 Description

• Design and implement scalable data models optimized for AI/ML use cases, ensuring data is structured for effective model training and inference • Architect and manage data pipelines using Databricks, including orchestration, job scheduling, and workflow optimization • Develop and maintain robust ETL/ELT processes to support data ingestion, transformation, and delivery across systems • Leverage Databricks Asset Bundles to manage deployment of data assets (pipelines, jobs, notebooks, and files) across environments • Collaborate with cross-functional teams to align data architecture with AI initiative requirements and business objectives • Ensure data quality, integrity, and governance standards are met across all pipelines and datasets • Contribute to CI/CD practices using Azure DevOps (ADO), with a future transition to GitHub-based workflows • Participate in Agile development processes, including sprint planning, stand-ups, and iterative delivery • Other duties as assigned

🎯 Requirements

• 5+ years of experience in Data Engineering or related field • Strong expertise in Databricks, including pipeline development, orchestration, and data architecture • Experience designing data models to support AI/ML applications • Proficiency in Python (PySpark) and SQL • Hands-on experience with Azure-based data environments • Experience with CI/CD tools such as Azure DevOps (ADO) • Ability to work independently with minimal oversight and ramp quickly in a fast-paced environment • Experience with Databricks Asset Bundles for deployment and environment management, preferred • Familiarity with transitioning CI/CD workflows to GitHub, preferred • Experience working in Agile development environments, preferred • Exposure to AI/ML workflows and data requirements for model development, preferred

🏖️ Benefits

• Company-paid health benefits • 401k with company match • WFH Stipend • Offers Bonus