Staff Engineer - Data Engineer

Nagarro; Región Centro; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Bain seeks a Senior Data Modeler to design and govern the data architecture for unstructured knowledge assets across the KM ecosystem. This role bridges data engineering with KM domain expertise, translating content into well-defined, secure data products within Databricks Unity Catalog.

You will collaborate with data engineers, Knowledge Products, and Architecture teams to ensure proper ingestion, lineage, and downstream surface in tools like Sage/Glean, while supporting privacy reviews and

Formación

• 5+ years of experience in data modeling or data architecture.
• Experience with unstructured or semi-structured data, not purely relational modeling.
• Knowledge Management or enterprise search domain experience.
• Hands-on with a modern data catalog; Unity Catalog experience strongly preferred.
• Ability to define data domains and data product boundaries in a large, multi-stakeholder org.
• Metadata management and data security classification knowledge.

Responsabilidades

• Design logical and physical data models for unstructured content.
• Define data product boundaries and ownership.
• Establish metadata standards and tagging taxonomies.
• Enforce security classifications on data products.

Conocimientos

Data modeling

Data architecture

Knowledge management

Metadata management

Security classification

Stakeholder collaboration

Communication

Educación

Bachelor's degree in a relevant field

Herramientas

Databricks Unity Catalog

Delta Lake

Lakehouse Federation

Data catalog tools

Descripción del empleo

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 at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 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

The Senior Data Modeler will design and govern the data architecture for unstructured knowledge assets across Bain's 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.

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.

Required Qualifications

5+ years of experience in data modeling, data architecture, or information architecture, with meaningful exposure tounstructured or semi-structured data(not purely relational/transactional modeling).

Direct experience working in or adjacent toKnowledgeManagement, 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 ofdata security/sensitivity classification frameworks and how they map to access control in alakehouseenvironment.

Experience partnering with data engineering teams on ingestion and pipeline design (not required to write production pipelinecode, butmust 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.

Preferred Qualifications

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 asimilardocument/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.