Data Architect

Job Description

Come join one of the largest News Organizations in the US and help design their future state AI enabled Data Architecture.

Day to day:

End-to-end data & AI architecture: Define and operationalize a clear enterprise approach for how data and AI work together from ingestion through transformation, curation, serving, activation, and AI enablement.

Taxonomy, ontology & semantic foundations: Drive clarity and progress on taxonomy, ontology, metadata, and semantic structure to support discoverability, analytics, personalization, governance, and AI use cases.

Data onboarding standards & SLAs: Establish a consistent data onboarding model with measurable SLAs for speed, quality, ownership, lineage, documentation, and operational readiness.

What this person will do:

• Drive stakeholder alignment and decision-making across architecture, governance, and operating model choices

• Stand up reusable patterns and practical frameworks the team can apply immediately

• Identify and unblock critical architectural and operational bottlenecks

• Translate ambiguity into action, with visible progress during the engagement

• Work side-by-side with the current team to embed changes that can be sustained after the engagement

Expected Outcomes by end of contract:

• A clear, adopted core data and AI architecture approach

• An actionable taxonomy, ontology, and semantic strategy

• A working data onboarding model with defined SLAs and quality gates across News Group data assets

• Reusable standards, governance direction, and operating patterns in active use

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

· 10+ years in data architecture, data platform engineering, information architecture, or AI systems architecture

· Deep enterprise data architecture expertise with strong hands-on understanding of Databricks and medallion design

· Strong experience in distributed data processing, data modeling, governance, observability, metadata strategy, and semantic modeling

· Production experience with AI / LLM-based systems, including RAG, vector databases, prompt orchestration, evaluation, monitoring, and governance controls. Understanding of fast evolving AI agent architectures.

· Deep understanding of how taxonomy, ontology, metadata, and semantic structures support scalable enterprise data and AI use cases

· Deep working knowledge of Databricks and AWS, with the ability to architect and execute within already-selected strategic platforms

· Strong understanding of how to improve technical team productivity through modern AI-assisted development tools such as GitHub Copilot, Claude Code, and Codex