Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and enhance the data architecture for the Trilon Digital Platform.

• Create contemporary cloud-based data platforms, which include data lakes, lakehouses, warehouses, and scalable data processing capabilities.

• Develop reusable patterns for the ingestion, transformation, and integration of data from enterprise systems, engineering applications, and external sources.

• Build consistent enterprise data models, shared definitions, and relationships across various projects, clients, employees, financials, and engineering data.

• Set standards for data quality, ownership, lineage, metadata management, and access controls.

• Facilitate the creation of reusable datasets, data services, and APIs for digital products, analytics, automation, and enterprise workflows.

• Design data architectures that support AI applications, enterprise knowledge retrieval, RAG, and advanced analytics.

• Collaborate directly with data engineers and product teams on solution design, architecture reviews, technical decision-making, and resolving complex data challenges.

• Create an incremental data architecture roadmap that balances immediate product demands with long-term enterprise capabilities.

• Work alongside Platform Architecture, Product, Engineering, IT, and business stakeholders to ensure data investments align with enterprise priorities.

⛳️ Requirements

• Over 10 years of experience in data engineering, data architecture, or related technical positions.

• Proficiency with Microsoft Azure, Databricks, Microsoft Fabric, Snowflake, or other similar modern data platforms.

• Experience in designing enterprise semantic models, master data management, and reusable data products.

• Background in supporting generative AI and enterprise knowledge platforms.

• Demonstrated experience in 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.

• Practical experience with cloud data services, data lakes, warehouses, or lakehouse technologies.

• Strong SQL capabilities and familiarity with Python or other data engineering technologies.

• Experience in integrating data from enterprise applications, APIs, databases, and third-party systems.

• Solid understanding of data governance, quality, metadata, lineage, security, and access management.

• Knowledge of 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 advantageous.

🏝️ Benefits

• Pay transparency: base salary range of $175,000–$195,000 per year.

• Opportunity to contribute to building a Top 20 infrastructure consulting firm in North America.

• PeopleFirst culture supported by Alpine Investors.

• Fully remote work arrangement.