Enterprise Semantic Data Architect - Graph & Lakehouse

Aumni; Newark (NJ); On-site; USD 170,000 - 260,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase seeks a Senior Principal Data Architect to shape the enterprise semantic model and data services platform. You will drive global data architecture strategy, ensuring stable entity identities, taxonomy, and provenance across control objectives, procedures, applications, and evidence.

You’ll lead design choices for graph vs lakehouse processing, influence senior stakeholders, and align with risk and audit requirements.

Qualifications

• Proven record designing semantic models or knowledge graphs for large-scale enterprise apps.
• Expertise in graph and semantic data modelling incl. ontology and taxonomy.
• Hands‑on experience with graph technologies and query languages (property graph, RDF/OWL).
• Strong cloud-native data platform architecture experience (Databricks or lakehouse)

Responsibilities

• Own the design of the enterprise semantic model with stable identities and versioning.
• Set firmwide standards for modelling, taxonomy, and ontology; coordinate with SMEs.
• Decide when to use graph-native processing vs lakehouse SQL for traversal and analytics.
• Design integration of semantic layer with data lakehouse and provenance tracking.
• Define data contracts and schema evolution; ensure auditable output and entitlements.
• Build point-in-time history for audit evidence and separate config vs operating evidence.
• Ensure outputs carry data minimization and quality state; enable AI governance checkpoints.
• Guide teams on silver/gold modelling and contract design; present trade‑offs.

Skills

Semantic modelling

Knowledge graphs

Graph databases

Cloud architecture

Databricks

Data governance

Education

Bachelor's degree

Tools

RDF/OWL

Job description

JPMorganChase seeks a Senior Principal Data Architect to shape the enterprise semantic model and data services platform. You will drive global data architecture strategy, ensuring stable entity identities, taxonomy, and provenance across control objectives, procedures, applications, and evidence.

You’ll lead design choices for graph vs lakehouse processing, influence senior stakeholders, and align with risk and audit requirements.