The Senior Data & AI Engineer will design, build, and maintain the infrastructure and systems that power data and AI use cases at Parkhill. This role focuses on data pipelines, production AI systems, and scalable platforms that enable data analyst/scientists and business teams to work efficiently with reliable, high-quality data.
Responsibilities
Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure
Design, implement, and maintain end-to-end data pipelines
from AEC specific source systems (ex. Civil3D, Revit, Procore, etc.) into a use-case-ready environment
Collaborate with business SMEs, data analysts/scientists, and the Digital Practice group to provide reliable and clean data
Build and deploy machine learning and AI models into production environments, ensuring scalability and reliability
Manage cloud platforms and data storage systems
Develop APIs and platforms to enable integration of AI solutions into business use cases
Optimize data systems for speed, efficiency, and reliability
Mentor junior engineers and provide technical leadership for data infrastructure initiatives
Qualifications
7+ years in data engineering, AI engineering, or software engineering roles, preferably in the AEC industry
Experience with cloud platforms (Azure, AWS) and big data tools
Strong proficiency in Python, SQL, and data engineering frameworks
Experience deploying ML/AI models into production (Docker, Kubernetes)
Familiarity with AI/ML frameworks for production use
Experience with data visualization/BI tools (Power BI, Tableau) a plus
Understanding of data security, governance, and compliance standards