About ACDFor more than a century, AIA Contract Documents (ACD) has supported architecture, engineering, and construction professionals by delivering a shared industry standard to align parties on a project.What began in 1888 with the development of standardized construction contracts has evolved into a comprehensive suite of contract tools and foundational workflows that not only shape how the industry works today, but uniquely position ACD to help firms navigate construction’s growing complexity.In a world driven by scale, fragmentation, and AI-generated decisions that prioritize speed over a clear understanding of risk, ACD serves as a trusted anchor, ensuring project participants can reduce disputes and negotiations, while achieving faster alignment and more predictable outcomes for the future.AIA Contract Documents is seeking a Senior Data Engineer to support the buildout of data infrastructure powering upcoming AI initiatives. This role will play a critical part in designing and structuring data systems that enable scalable, high-quality inputs for AI and machine learning models.The ideal candidate brings deep experience in modern data engineering practices, strong familiarity with Databricks, and the ability to operate independently in a fast-evolving environment with limited oversight.Key ResponsibilitiesDesign and implement scalable data models optimized for AI/ML use cases, ensuring data is structured for effective model training and inferenceArchitect and manage data pipelines using Databricks, including orchestration, job scheduling, and workflow optimizationDevelop and maintain robust ETL/ELT processes to support data ingestion, transformation, and delivery across systemsLeverage Databricks Asset Bundles to manage deployment of data assets (pipelines, jobs, notebooks, and files) across environmentsCollaborate with cross-functional teams to align data architecture with AI initiative requirements and business objectivesEnsure data quality, integrity, and governance standards are met across all pipelines and datasetsContribute to CI/CD practices using Azure DevOps (ADO), with a future transition to GitHub-based workflowsParticipate in Agile development processes, including sprint planning, stand-ups, and iterative deliveryOther duties as assignedQualifications5+ years of experience in Data Engineering or related fieldStrong expertise in Databricks, including pipeline development, orchestration, and data architectureExperience designing data models to support AI/ML applicationsProficiency in Python (PySpark) and SQLHands-on experience with Azure-based data environmentsExperience with CI/CD tools such as Azure DevOps (ADO)Ability to work independently with minimal oversight and ramp quickly in a fast-paced environmentExperience with Databricks Asset Bundles for deployment and environment management, preferredFamiliarity with transitioning CI/CD workflows to GitHub, preferredExperience working in Agile development environments, preferredExposure to AI/ML workflows and data requirements for model development, preferredWhat Success Looks LikeEfficient, scalable data pipelines supporting AI initiativesWell-structured, high-quality datasets optimized for machine learningStreamlined deployment and orchestration of Databricks assets across environmentsStrong collaboration with stakeholders to deliver data solutions aligned with business needs

Senior Data Engineer

Emma

Requirements and responsibilities

Skills wanted:

Language(s) required:

Nick Macey

About AIA Contract Documents:

www.aiacontracts.com/

Admin access needed