[Remote] Data Engineer/Architect

Note: The job is a remote job and is open to candidates in USA. JLL is a leading global provider of real estate and investment management services, and they are seeking a Data Engineer/Architect to manage their data infrastructure. The role involves designing and optimizing data architecture on a cloud service provider, consolidating complex operational data, and enabling advanced analytics and AI/ML applications. Responsibilities • Design and build a scalable, secure, and reliable data architecture on GCP, specifically tailored for critical facilities and operational data • Develop and maintain robust ETL/ELT pipelines to ingest, consolidate, and process data from diverse and disconnected sources (e.g., BMS, EPMS, equipment logs, sensor data) • Utilize core GCP services (e.g., BigQuery, Pub/Sub, Dataflow, Cloud Storage) to warehouse and manage large-scale data • Structure and optimize data models in BigQuery to support high-performance queries, advanced analytics, and BI visualization in tools like Looker Studio • Implement data governance, quality checks, and monitoring to ensure data integrity and reliability • Partner with the Director of Innovation to translate strategic goals into technical data solutions • Prepare and productionalize large-scale datasets for use in Machine Learning (ML) and Artificial Intelligence (AI) models on GCP (e.g., Vertex AI) • Engineer the data foundation required to build and deploy models for predictive maintenance, proactive operational intelligence, and automated remediation workflows • Operationalize critical building/space data, making it accessible and actionable for operational teams and analysts • Act as the lead technical expert on data architecture and engineering for the client account • Collaborate closely with operations teams, data analysts, and our client’s stakeholders to understand data requirements and deliver solutions • Troubleshoot and resolve complex data-related issues, ensuring minimal disruption to analytics and operational tools Skills • 5-7+ years of hands-on experience in a data engineering or data architect role • Expert-level knowledge and proven experience with a leading global cloud service provider, especially BigQuery, Pub/Sub, Dataflow, and IAM • Mandatory, demonstrable experience with operationalizing Building Management System (BMS), EPMS, or other critical facilities/OT data for analytics • Strong proficiency in SQL, Python, and data modeling techniques for data warehousing • Experience in preparing data for and supporting ML/AI models in a production environment (MLOps experience is a major plus) • Familiarity with BI tools like Looker Studio or Tableau and how they connect to data warehouses • Strong problem-solving and analytical skills with a focus on continuous improvement and optimization • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field • GCP certification (e.g., Professional Data Engineer, Professional Cloud Architect) is highly desirable Company Overview • We’re a leading professional services firm that specializes in real estate and investment management. It was founded in 1783, and is headquartered in Chicago, Illinois, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • JLL has a track record of offering H1B sponsorships, with 70 in 2025, 47 in 2024, 60 in 2023, 68 in 2022, 39 in 2021, 43 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job