Staff Engineer – Data Engineer

🔥 12 minutes ago

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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 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 across knowledge sources • Assign and enforce security and sensitivity classifications aligned with 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 to align ingestion, transformation, and storage patterns with modeled domain structures • 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 • Deliver domain models, metadata taxonomies, registered and discoverable data products, security classifications, and repeatable modeling standards within the first 6–12 months

🎯 Requirements

• 5+ years of experience in data modeling, data architecture, or information architecture • Meaningful exposure to unstructured or semi-structured data • Direct experience in or adjacent to Knowledge Management, content management, or enterprise search • Hands-on experience with a modern data catalog; Databricks Unity Catalog strongly preferred • 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 and 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 • Experience with enterprise knowledge platforms or AI-powered retrieval systems preferred • Familiarity with Databricks Delta Lake, Delta Sharing, or Lakehouse Federation preferred • Prior experience in professional services, consulting, or document/case-intensive knowledge environments preferred • Exposure to Legal/Risk/Privacy review processes preferred • Background in library science, information science, or applied ontology is a plus but not required • Must have strong Data Modeling skills and Databricks skills

🏖️ Benefits

• Remote work