techholding

Data Architect | Contract | Remote, USA

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At a Glance

Location
Los Angeles, California, United States
Experience
8+ years
Posted
2026-07-27T11:17:20-04:00

Key Requirements

Required Skills

AWSData AnalysisData EngineeringMicroservices

Domain Knowledge

  • Engineering
  • Logistics
  • Supply Chain

Requirements

8+ years of experience in data architecture, enterprise data platforms, data engineering, or a related field.

Demonstrated experience designing and governing complex enterprise data architectures.

Strong experience designing conceptual, logical, and physical data models.

Experience designing data models for real-time inventory, order management, logistics, or supply chain systems.

Strong experience conducting exploratory data analysis and profiling complex enterprise data sources.

Experience designing batch, streaming, event-driven, and real-time data architectures.

Compensation & Benefits

Contract role with a high-impact client

Exposure to cutting-edge technologies and fast-paced digital innovation

Opportunity to influence data strategy and architecture for a leading brand in the sports/media space

Responsibilities

We are seeking a senior Data Architect to design and govern the data layer of a large-scale Ad Tech platform transformation.

This person will be responsible for understanding the current-state data landscape, defining the future-state architecture, and designing scalable data models and integration patterns across ad delivery, audience segmentation, campaign reporting, inventory, and billing.

The ideal candidate has strong experience designing enterprise data foundations, conducting exploratory data analysis, architecting batch and real-time data pipelines, and integrating complex legacy systems with modern cloud-native platforms.

Experience designing data models for real-time inventory, order management, logistics, or supply chain systems is required.

Design scalable conceptual, logical, and physical data models for ad delivery, audience segmentation, campaign reporting, inventory, and billing.

Map data relationships, dependencies, and flows across existing systems and ensure critical dependencies are preserved in the future-state architecture.