Data Architect

Department: IT

Employment Type: Full Time

Location: Remote, Remote- USA, Remote

Key Responsibilities

• Enterprise Data Architecture: Define and evolve the data architecture for the Trilon Digital Platform, ensuring scalability, security, reliability, and flexibility.
• Data Platform & Infrastructure: Design modern cloud-based data platforms, including data lakes, lakehouses, warehouses, and scalable data processing capabilities.
• Data Integration: Establish reusable patterns for ingesting, transforming, and integrating data from enterprise systems, engineering applications, and third-party sources.
• Data Modeling: Develop consistent enterprise data models, common definitions, and relationships across key business domains, including projects, clients, employees, financials, and engineering data.
• Data Quality & Governance: Establish practical standards for data quality, ownership, lineage, metadata management, and access controls in partnership with business and IT stakeholders.
• Data Products & APIs: Enable reusable, trusted datasets, data services, and APIs that support digital products, analytics, automation, and enterprise workflows.
• AI & Analytics Enablement: Design data architectures that support AI applications, enterprise knowledge retrieval, RAG, and advanced analytics.
• Technical Leadership: Work hands-on with data engineers and product teams on solution design, architecture reviews, technical decisions, and complex data challenges.
• Architecture Roadmap: Develop an incremental data architecture roadmap that balances immediate product needs with long-term enterprise data capabilities.
• Cross-Functional Collaboration: Partner closely with the Platform Architect, Product, Engineering, IT, and business stakeholders to align data investments with enterprise priorities and business outcomes. 

Skills, Knowledge and Expertise

• 10+ years of experience in data engineering, data architecture, or related technical roles.
• Experience with Microsoft Azure, Databricks, Microsoft Fabric, Snowflake, or similar modern data platforms. 
• Experience designing enterprise semantic models, master data management, and reusable data products. 
• Experience supporting generative AI and enterprise knowledge platforms. 
• Proven experience designing and implementing enterprise-scale cloud data platforms and modern data architectures.
• Strong expertise in data modeling, data integration, ETL/ELT pipelines, and distributed data processing.
• Hands-on experience with cloud data services, data lakes, warehouses, or lakehouse technologies.
• Strong SQL skills and experience with Python or other data engineering technologies.
• Experience integrating data from enterprise applications, APIs, databases, and third-party systems.
• Solid understanding of data governance, quality, metadata, lineage, security, and access management.
• Familiarity with AI/ML data requirements, including vector databases, embeddings, and RAG.
• Familiarity with AEC industry data and systems such as Deltek Vantagepoint, Autodesk, Esri ArcGIS, Bentley, or enterprise document management platforms is a plus

About Trilon