Staff Engineer, Data Engineer

🔥 15 hours ago

🌐 United States, Mexico – Remote

🇺🇸 United States – Remote 🇲🇽 Mexico – Remote

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nagarro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• Design and govern data architecture for unstructured knowledge assets across Bain's Knowledge Management ecosystem • Design logical and physical data models for unstructured and semi-structured content originating from KM pipelines • Define domain boundaries and ownership for data products • Establish metadata standards and tagging taxonomies • Assign and enforce security and sensitivity classifications on data products • Register, document, and maintain data products in Databricks Unity Catalog, including schemas, access grants, lineage, and catalog-level metadata • Partner with data engineers to align ingestion, transformation, and storage patterns with the modeled domain structure • Collaborate with Knowledge Products, Research Products, and Architecture/Data/Technology stakeholders on downstream consumption needs • Support privacy and legal review processes through data product classification and documentation • Establish and document repeatable modeling standards and playbooks for future data product onboarding

🎯 Requirements

• 5+ years of experience in data modeling, data architecture, or information architecture, with meaningful exposure to unstructured or semi-structured data • Direct experience working in or adjacent to Knowledge Management, content management, or enterprise search domain • Hands-on experience with a modern data catalog; Databricks Unity Catalog experience strongly preferred • Ability to define data domains and data product boundaries in a large, multi-stakeholder organization • Practical knowledge of metadata management, including tagging schemas, taxonomies, controlled vocabularies, or ontology design • Understanding of data security/sensitivity classification frameworks and access control in a lakehouse environment • Experience partnering with data engineering teams on ingestion and pipeline design • Strong written and verbal communication skills; ability to translate technical modeling decisions into business-readable rationale • Preferred: experience with Glean, SharePoint, ServiceNow, or AI-powered retrieval systems • Preferred: familiarity with Databricks Delta Lake, Delta Sharing, or Lakehouse Federation • Preferred: prior experience in professional services, consulting, or a document/case-intensive knowledge environment • Preferred: exposure to Legal/Risk/Privacy review processes • Background in library science, information science, or applied ontology is a plus but not required

🏖️ Benefits

• Employees can work remotely