• Serve as the Owner's architectural SME and trusted advisor throughout planning, design, construction, and project execution phases. • Partner with internal stakeholder teams, design consultants, construction management firms, and general contractors to administer design documentation and ensure compliance with Owner standards and project objectives. • Provide technical direction and comprehensive reviews of architectural design packages with a focus on life safety and egress requirements, ADA compliance, signage programs, site planning, and core data center building design. • Develop, maintain, and enhance architectural design standards, campus planning guidelines, and prototype building templates to support consistency and scalability across projects. • Lead technical reviews of consultant deliverables at key design milestones, providing detailed peer-review feedback on Basis of Design (BOD) documents and 30%, 65%, and 100% construction documentation packages.

• Join a small, collaborative team defining questions for user research and experimenting with internal data. • Engage with internal and external users, and be involved in all phases of product development. • Work with Python, Databricks, Postgres, and occasional SQL to develop deep knowledge of the data in our catalogue. • Help set priorities for new data sources and partner with a data scientist and another software engineer for data transformations. • Collaborate closely with platform teams and write requirements docs and proposals.

• Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics. • Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows. • Develop and evolve a query engine capable of answering complex, cross-deal/account questions and delivering actionable insights for sales managers and executives. • Scale data processing and insights generation pipelines to handle growing volumes of activity data (emails, meetings, transcripts, CRM objects) while managing infrastructure costs. • Collaborate with Engineering and Product teams to translate business and customer needs into robust, well-documented technical solutions. • Follow and promote software development best practices, delivering clean, maintainable, and well-monitored code. • Build internal tooling to enable customer support teams to investigate and resolve support requests in a self-service manner. • Ensure high-quality alerting, dashboards, tracing, and runbooks are in place for all production services.

• Lead technical initiatives for large-scale data modernization and migration. • Define data architectures using Databricks Lakehouse and Microsoft Azure. • Assess legacy environments and determine the best strategy for migrating, refactoring, or decommissioning workloads. • Design modern data pipelines, ETL/ELT processes, and orchestration strategies. • Establish architecture, quality, governance standards, and engineering best practices. • Ensure data quality and consistency throughout the migration process. • Collaborate with architects, Data Engineers, Databricks specialists, and client teams to deliver high-quality outcomes. • Act as the project’s technical reference, supporting architectural decisions and mentoring other engineers. • Contribute to automation initiatives and the use of Artificial Intelligence to accelerate migration processes.