Data Platform Architect – AI Enablement

Smart City Networks Career•Las Vegas, NV

1d•Onsite

About The Position

Smart City Networks is seeking a Data Platform Architect – AI Enablement to design and build the company’s modern data foundation and enable scalable AI-driven analytics across venues and events. This is a foundational, hands-on leadership role responsible for establishing Smart City’s analytical “single source of truth” by unifying operational, financial, event, and network data into a governed, scalable platform. This role will lay the groundwork for predictive analytics, AI-enabled reporting, and future data products that support venue executives and internal teams. The ideal candidate combines strong data modeling and engineering expertise with practical AI experience and enjoys building systems from the ground up in a growing organization. This role reports to Vice President, Engineering and is based at the Smart City Networks corporate office in Las Vegas, Nevada.

Requirements

5–10+ years of experience in data engineering, analytics engineering, or data platform roles
Strong SQL and data modeling expertise
Experience building and maintaining modern analytics stacks (cloud or hybrid)
Experience working with structured transactional systems and APIs
Familiarity with telemetry, event, or operational datasets
Experience preparing data for AI/ML workflows
Ability to communicate complex technical concepts to non-technical stakeholders
Comfortable operating in an evolving, build-first environment

Nice To Haves

Experience with modern lakehouse or cloud analytics platforms (e.g., Databricks, Snowflake, BigQuery)
Exposure to AI productization or predictive modeling workflows
Knowledge of data governance, privacy, and security frameworks
Experience in venues, events, telecommunications, hospitality, or similar industries

Responsibilities

Design, implement, and evolve Smart City’s analytical data platform (“shadow” analytics layer)
Build and manage ingestion pipelines from CRM/ERP systems, financial platforms, network telemetry, logging systems, and third-party APIs
Develop standardized data models and curated datasets that support cross-domain analytics
Establish consistent metric definitions across venues and events
Ensure data quality, observability, documentation, and lineage
Design for scalability, cost efficiency, and long-term maintainability
Prepare structured, governed datasets for predictive modeling and AI-driven use cases
Partner with internal stakeholders, and external AI consultants to operationalize AI solutions
Support development of forecasting models related to attendance, network demand, exhibitor behavior, and venue performance
Ensure AI initiatives are built on reusable, governed data foundations
Contribute to evaluation and integration of modern AI and analytics platforms
Work closely with internal stakeholders, and external AI consultants to operationalize AI solutions to prioritize high-value use cases
Translate business questions into scalable data solutions
Support executive leadership with trusted, consistent performance metrics
Reduce manual reporting, reconciliation, and ad-hoc data work across teams
Establish baseline data classification and governance practices
Implement access controls and role-based data usage patterns
Promote responsible AI and data usage practices
Support compliance, privacy, and security considerations as analytics capabilities expand