Data & Context Architect
Overview:
As a Data and Context Architect, you design the semantic, knowledge, and governance layers that let AI agents operate on trusted data assets. You bridge business rules from SMEs into scalable, governed models and define data lineage, entitlements, and agent identity. You work within a data-centric team to elevate data readiness, quality, and usability while shaping the enterprise data product roadmap. This role blends governance with advanced analytics to enable trusted AI and data-driven decision making. Compensation / Benefitsindustry-leading benefitssupport and services for health and wellbeingflexible arrangements (role and location dependent)life balanceautonomy, freedom, and ownershipinclusive culture and merit-based recognition
Responsibilities:
- Design and develop the metrics layer, ontology framework, search indexes, and business glossary
- Establish and evaluate data readiness across scope, freshness, semantic clarity, quality, governance, usability, and operational effectiveness
- Elicit business rules from SMEs and translate them into reusable, governed, and scalable models
- Define entitlement frameworks, data lineage standards, and agent identity requirements
- Key requirementsstakeholder collaborationcommunication skillsproblem-solvinglakehouse and cloud-based data platforms (Databricks, Delta Lake, Unity Catalog, PySpark)semantic and metrics layers, dimensional modeling, domain-driven data modelingontologies and knowledge graphs (RDF/OWL, Neo4j)