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Staff Engineer - Data Modeler

Nagarro

Remote • Today

Full-time

Staff Engineer - Data Scientist

Nagarro

Grand Prairie, Texas • Today

Full-time

Staff Engineer - Data Engineering

Early Warning Services, LLC

Chicago, Illinois • Today

Full-time

USD 175,000.00 - 225,000.00 per year

Staff Engineer, Data Analysis (R5290)

Shield AI Inc

San Diego, California • Today

Full-time

USD 150,000.00 - 220,000.00 per year

Staff Data Engineer

OrangePeople

No location provided • Today

Easy Apply

Contract

Staff Data Engineer-AI Platform

HEB Grocery Company, LP

Austin, Texas • Today

Full-time

USD 144,300.00 per year

Staff Data Engineer - Data Engineering

CoreWeave

Northfield, Massachusetts • 5d ago

Full-time

USD 207,000.00 - 275,000.00 per year

Staff Data Engineer

Realtor.com Careers

Austin, Texas • Today

Full-time

Staff Data Engineer

Visa

Foster City, California • 22d ago

Full-time

USD 146,200.00 - 233,700.00 per year

Staff Data Engineer

Komodo Health

No location provided • Today

Full-time

USD 208,000.00 - 282,000.00 per year

Staff Data Engineer

FanDuel

Jersey City, New Jersey • Today

Full-time

USD 159,000.00 - 208,950.00 per year

Staff Data Engineer

FanDuel

Hoboken, New Jersey • 5d ago

Full-time

USD 159,000.00 - 208,950.00 per year

Staff Data Engineer - Data Infrastructure

Discord Inc.

San Francisco, California • Today

Full-time

USD 279,000.00 - 310,000.00 per year

Staff Data Engineer

Illumina, Inc.

San Diego, California • Today

Full-time

USD 141,600.00 - 212,400.00 per year

Staff Data Engineer - Telematics Data Products

General Motors

Austin, Texas • Today

Full-time

USD 160,200.00 - 211,950.00 per year

Staff Data Engineer

Headway

New York, New York • Today

Full-time

USD 212,000.00 - 265,000.00 per year

Staff AI Engineer, Data Analytics & Modeling - Office of the CTO

Sonatus

Sunnyvale, California • Today

Full-time

USD 188,000.00 - 300,000.00 per year

Staff Data Engineer

Cribl

Remote • Today

Full-time

USD 170,000.00 - 220,000.00 per year

Staff Data Engineer

Checkr

Denver, Colorado • Today

Full-time

USD 224,000.00 - 264,000.00 per year

Staff Data Commercial Engineer

MGM Resorts International

Nevada • Today

Full-time

USD 106,000.00 - 141,400.00 per year

Staff Software Engineer - Data Team #4555

GRAIL

Sunnyvale, California • Today

Full-time

USD 169,000.00 - 224,000.00 per year

Staff Software Engineer, Data Engineering

Ripple

San Francisco, California • Today

Full-time

USD 212,000.00 - 265,000.00 per year

Staff Data Engineer

ClickUp

Kentucky • Today

Full-time

USD 169,000.00 - 211,000.00 per year

Staff Software Engineer - Data Platform

Harness

Mountain View, California • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Staff Software Engineer - Data

Sony Interactive Entertainment (SIE)

San Mateo, California • Today

Full-time

USD 198,200.00 - 297,400.00 per year

Staff Software Engineer - Data

Sony Interactive Entertainment (SIE)

San Diego, California • Today

Full-time

USD 198,200.00 - 297,400.00 per year

Staff Data Science Engineer

Qorvo, Inc.

Richardson, Texas • Today

Full-time

Staff Data and AI Platform Engineer

Workiva

Remote • Today

Full-time

USD 129,000.00 - 210,000.00 per year

Staff Data Platform Engineer

Robert Half

Remote or San Francisco, California • Today

Easy Apply

Full-time

USD 200,000.00 - 250,000.00 per year

Staff Data Engineer

Hims and Hers Health, Inc.

Remote • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Job Details

Skills

Product Engineering
eXist
Bridging
Workflow
Data Governance
Storage
Collaboration
Research
Product Design
Sage
Data Modeling
Data Architecture
Information Architecture
Management
Content Management
Enterprise Search
Data Security
Access Control
Data Engineering
Communication
Business Intelligence
Microsoft SharePoint
ServiceNow
Artificial Intelligence
Databricks
Professional Services
Library Science
Science
Ontologies
Taxonomy
Knowledge Management
Unity
Modeling
Privacy
Legal
Meta-data Management

Product Engineering
eXist
Bridging
Workflow
Data Governance
Storage
Collaboration
Research
Product Design
Sage
Data Modeling
Data Architecture
Information Architecture
Management
Content Management
Enterprise Search
Data Security
Access Control
Data Engineering
Communication
Business Intelligence
Microsoft SharePoint
ServiceNow
Artificial Intelligence
Databricks
Professional Services
Library Science
Science
Ontologies
Taxonomy
Knowledge Management
Unity
Modeling
Privacy
Legal
Meta-data Management

Summary

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Role: Data Modeler
Location: Remote USA
Employment type: Fulltime

Job Overview:

The Senior Data Modeler will design and govern the data architecture for unstructured knowledge assets across Knowledge Management (KM) ecosystem.
This role bridges data engineering discipline with KM domain expertise, translating raw unstructured content (documents, case files, informal knowledge captures, chat/email extracts, etc.) into well-defined, discoverable, and secure data products within Databricks Unity Catalog.
This is a foundational hire for a newly formed KM Data Platform team supporting broader Knowledge and Research Systems strategy.

Key Responsibilities:

Design logical and physical data models for unstructured and semi-structured content (documents, case artifacts, K-Slices, extracted knowledge fragments, metadata records) originating from KM pipelines such as case mining and informal knowledge capture workflows.
Define domain boundaries and ownership for data products - determining what constitutes a discrete, reusable data product versus a raw or intermediate asset.
Establish metadata standards and tagging taxonomies (content type, practice/domain, provenance, confidentiality, freshness, lineage) to ensure consistent classification across knowledge sources.
Assign and enforce security and sensitivity classifications on data products in line with firm data governance, privacy, and legal/risk requirements.
Register, document, and maintain data products in Databricks Unity Catalog, including schemas, access grants, lineage, and catalog-level metadata.
Partner with data engineers building Databricks pipelines to ensure ingestion, transformation, and storage patterns align to the modeled domain structure.
Collaborate with Knowledge Products, Research Products, and Architecture/Data/Technology stakeholders to align data product design with downstream consumption needs (e.g., surfacing in Sage/Glean, AI agent retrieval).
Support privacy and legal review processes by ensuring data products are classified and documented to enable timely sign-off.
Establish and document repeatable modeling standards/playbooks so future data products can be onboarded consistently as the KM platform scales.

Qualifications

Must have skills:

Data Modeling (Strong), Databricks.
5+ years of experience in data modeling, data architecture, or information architecture, with meaningful exposure to unstructured or semi-structured data (not purely relational/transactional modeling).
Direct experience working in or adjacent to Knowledge Management, content management, or enterprise search domain - understands how documents, case files, or knowledge artifacts differ from standard transactional data.
Hands-on experience with a modern data catalog; Databricks Unity Catalog experience strongly preferred.
Demonstrated ability to define data domains and data product boundaries in a large, multi-stakeholder organization.
Practical knowledge of metadata management: tagging schemas, taxonomies, controlled vocabularies, or ontology design.
Understanding of data security/sensitivity classification frameworks and how they map to access control in a Lakehouse environment.
Experience partnering with data engineering teams on ingestion and pipeline design (not required to write production pipeline code, but must speak the language).
Strong written and verbal communication skills; able to translate technical modeling decisions into business-readable rationale for KM stakeholders and governance reviewers.

Good to have skills:

BI Schema Design - General Experience.
Experience with enterprise knowledge platforms (e.g., Glean, SharePoint, ServiceNow) or AI-powered retrieval systems.
Familiarity with Databricks Delta Lake, Delta Sharing, or Lakehouse Federation.
Prior experience in professional services, consulting, or a similar document/case-intensive knowledge environment.
Exposure to Legal/Risk/Privacy review processes for data classification and access approvals.
Background in library science, information science, or applied ontology is a plus but not required. Success Metrics (First 6-12 Months)
Domain model and metadata taxonomy defined and adopted for at least one major KM data product line (e.g., case mining outputs, informal knowledge K-Slices).
Data products registered and discoverable in Unity Catalog with correct security classifications applied.
Documented, repeatable modeling standard that engineering and future modelers can apply without re-litigating domain boundaries each time.
Reduced turnaround time on privacy/legal classification reviews due to upfront, consistent metadata and tagging.

Additional Information

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183489
Position Id: f13db465f86008527eafc55a72cb2265
Posted 3 days ago

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Job Details

Skills

Product Engineering
eXist
Bridging
Workflow
Data Governance
Storage
Collaboration
Research
Product Design
Sage
Data Modeling
Data Architecture
Information Architecture
Management
Content Management
Enterprise Search
Data Security
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Legal
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Product Engineering
eXist
Bridging
Workflow
Data Governance
Storage
Collaboration
Research
Product Design
Sage
Data Modeling
Data Architecture
Information Architecture
Management
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Enterprise Search
Data Security
Access Control
Data Engineering
Communication
Business Intelligence
Microsoft SharePoint
ServiceNow
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Professional Services
Library Science
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Knowledge Management
Unity
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Summary

The Senior Data Modeler will design and govern the data architecture for unstructured knowledge assets across Knowledge Management (KM) ecosystem.
This role bridges data engineering discipline with KM domain expertise, translating raw unstructured content (documents, case files, informal knowledge captures, chat/email extracts, etc.) into well-defined, discoverable, and secure data products within Databricks Unity Catalog.
This is a foundational hire for a newly formed KM Data Platform team supporting broader Knowledge and Research Systems strategy.

Key Responsibilities:

Design logical and physical data models for unstructured and semi-structured content (documents, case artifacts, K-Slices, extracted knowledge fragments, metadata records) originating from KM pipelines such as case mining and informal knowledge capture workflows.
Define domain boundaries and ownership for data products - determining what constitutes a discrete, reusable data product versus a raw or intermediate asset.
Establish metadata standards and tagging taxonomies (content type, practice/domain, provenance, confidentiality, freshness, lineage) to ensure consistent classification across knowledge sources.
Assign and enforce security and sensitivity classifications on data products in line with firm data governance, privacy, and legal/risk requirements.
Register, document, and maintain data products in Databricks Unity Catalog, including schemas, access grants, lineage, and catalog-level metadata.
Partner with data engineers building Databricks pipelines to ensure ingestion, transformation, and storage patterns align to the modeled domain structure.
Collaborate with Knowledge Products, Research Products, and Architecture/Data/Technology stakeholders to align data product design with downstream consumption needs (e.g., surfacing in Sage/Glean, AI agent retrieval).
Support privacy and legal review processes by ensuring data products are classified and documented to enable timely sign-off.
Establish and document repeatable modeling standards/playbooks so future data products can be onboarded consistently as the KM platform scales.

Qualifications

Must have skills:

Data Modeling (Strong), Databricks.
5+ years of experience in data modeling, data architecture, or information architecture, with meaningful exposure to unstructured or semi-structured data (not purely relational/transactional modeling).
Direct experience working in or adjacent to Knowledge Management, content management, or enterprise search domain - understands how documents, case files, or knowledge artifacts differ from standard transactional data.
Hands-on experience with a modern data catalog; Databricks Unity Catalog experience strongly preferred.
Demonstrated ability to define data domains and data product boundaries in a large, multi-stakeholder organization.
Practical knowledge of metadata management: tagging schemas, taxonomies, controlled vocabularies, or ontology design.
Understanding of data security/sensitivity classification frameworks and how they map to access control in a Lakehouse environment.
Experience partnering with data engineering teams on ingestion and pipeline design (not required to write production pipeline code, but must speak the language).
Strong written and verbal communication skills; able to translate technical modeling decisions into business-readable rationale for KM stakeholders and governance reviewers.

Good to have skills:

BI Schema Design - General Experience.
Experience with enterprise knowledge platforms (e.g., Glean, SharePoint, ServiceNow) or AI-powered retrieval systems.
Familiarity with Databricks Delta Lake, Delta Sharing, or Lakehouse Federation.
Prior experience in professional services, consulting, or a similar document/case-intensive knowledge environment.
Exposure to Legal/Risk/Privacy review processes for data classification and access approvals.
Background in library science, information science, or applied ontology is a plus but not required. Success Metrics (First 6-12 Months)
Domain model and metadata taxonomy defined and adopted for at least one major KM data product line (e.g., case mining outputs, informal knowledge K-Slices).
Data products registered and discoverable in Unity Catalog with correct security classifications applied.
Documented, repeatable modeling standard that engineering and future modelers can apply without re-litigating domain boundaries each time.
Reduced turnaround time on privacy/legal classification reviews due to upfront, consistent metadata and tagging.

Dice Id: 80183489
Position Id: f13db465f86008527eafc55a72cb2265
Posted 3 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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