Data Architect

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

📋 Description

• Create scalable conceptual, logical, and physical data models for ad delivery, audience segmentation, campaign reporting, inventory management, and billing processes.

• Analyze data relationships, dependencies, and flows within existing systems to ensure that essential dependencies are maintained in the future-state architecture.

• Perform exploratory data analysis on raw and existing datasets to gain an in-depth understanding of the current data landscape.

• Assess existing data sources, inventory and characterize data assets, evaluate data quality, and identify gaps, inconsistencies, duplications, and integration risks.

• Establish data ingestion, transformation, and orchestration patterns for both batch and real-time data streams.

• Design data architectures that accommodate high-volume events such as ad impressions, click activities, audience signals, inventory adjustments, and campaign transactions.

• Architect cloud-native data solutions utilizing AWS technologies, including relational databases, graph databases, retrieval-augmented generation, and vector databases.

• Define integration patterns between legacy systems and a modern microservices-based platform.

• Ensure that data interfaces, schemas, contracts, relationships, and system dependencies are thoroughly defined and documented.

• Establish data governance standards focusing on lineage, cataloging, data quality, access controls, privacy, security, and lifecycle management.

• Work closely with cloud services, engineering, architecture, product, and business teams across various workstreams.

• Maintain data architecture documentation, including entity relationship diagrams, data flow diagrams, schema definitions, data dictionaries, and architecture decision records.

⛳️ Requirements

• Over 8 years of experience in data architecture, enterprise data platforms, data engineering, or a related discipline.

• Proven experience in designing and governing complex enterprise data architectures.

• Extensive experience in creating conceptual, logical, and physical data models.

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

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

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

• Significant experience architecting cloud-native data solutions using AWS services.

• Proficient with relational databases and modern cloud data platforms.

• In-depth understanding of APIs, microservices, data contracts, integration architecture, and interoperability between legacy and modern systems.

• Strong knowledge of metadata, lineage, cataloging, governance, data quality, security, and access controls.

• Ability to evaluate complex current-state environments and translate findings into a feasible future-state architecture and implementation roadmap.

• Excellent communication, documentation, and stakeholder management skills.

• Experience in advertising technology, media, digital advertising, campaign management, or audience data platforms.

• Familiarity with high-volume transactional or event-driven data.

• Knowledge of graph databases, vector databases, semantic retrieval, retrieval-augmented generation, or agentic AI use cases.

• Experience in supporting data platform modernization or large-scale transformation initiatives.

• Consulting or client-facing experience.

• Experience working in collaboration with cloud professional services teams.

🏝️ Benefits

• Contract role with a high-impact client.

• Exposure to cutting-edge technologies and a dynamic digital innovation environment.

• Opportunity to shape data strategy and architecture for a prominent brand in the sports/media sector.