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Audacy, Inc. · 1 day ago

Data Architect

New York, NY

Full-time

Onsite

Senior Level

$120K/yr - $128K/yr

5+ years exp

Audacy is seeking an experienced and visionary Data Architect to join their Data Strategy team. This pivotal role involves designing and evolving the end-to-end data architecture that supports Audacy's analytics and AI platforms, ensuring that data is well-structured, performant, and aligned with business objectives.

Broadcast Media

Responsibilities

Design and maintain enterprise-grade data models and schemas that effectively support advanced analytics, AI applications, and critical operational use cases

Architect and guide the seamless integration of diverse data sources—including cloud storage, real-time streaming platforms, and operational databases—into a unified, governed, and highly efficient data ecosystem

Define, implement, and champion standards for data quality, lineage tracking, access protocols, and comprehensive metadata management

Optimize data pipelines, storage patterns, and query performance for both high-volume batch and real-time workloads

Partner effectively with data engineers and platform teams to translate conceptual models into robust and efficient physical implementations

Work closely with the Platform Engineering team to ensure complete alignment between data architecture, underlying infrastructure, and stringent security policies

Stay current with emerging data technologies, innovative architectural patterns, and evolving governance frameworks

Qualification

Data ArchitectureGoogle Cloud PlatformData GovernanceSQLPythonInfrastructure-as-CodeData ModelingCI/CD PrinciplesData Lineage TrackingClean Data Practices

Required

5-7 years of progressive experience in data architecture, data engineering, or enterprise data management

Proven expertise in designing and implementing scalable data architectures on Google Cloud Platform (GCP), with a particular focus on BigQuery, Dataplex, Dataflow, and Dataform

Strong understanding of data modeling concepts (e.g., 3NF, dimensional, and semantic models) and experience with modern data stack tools and methodologies

Demonstrated experience in implementing comprehensive data governance frameworks, metadata management solutions, and robust data lineage tracking

Proficiency in SQL, Python, and Infrastructure-as-Code (IaC) tools such as Terraform

Familiarity with CI/CD principles as applied to data infrastructure (e.g., version-controlled schema changes, automated data validation)

A passion for cultivating clean, well-structured, and trustworthy data that consistently accelerates analytical and AI outcomes