職種概要
Project context
The “HMAX Energy Data Fabric” is a long-term data platform initiative for the energy infrastructure domain. It will
integrate enterprise data from SAP, Salesforce and legacy systems with IoT telemetry, documents, images and
machine-derived observations. The platform will support analytics, applications and governed AI use cases
across multiple regions, tenants and cloud environments.
#LI-YN1
Role purpose
Lead the development of the enterprise conceptual data model and supporting ontology. Establish consistent
business meaning across domains and source systems, then guide its translation into logical models, data
products and semantic definitions.
必要条件
Candidate evidence
Candidates should be prepared to present a sanitised example of work they personally led or substantially
contributed to, such as an enterprise conceptual model, business or domain ontology, taxonomy or cross-system
semantic harmonisation initiative. Experience limited to physical schemas, dimensional models or ERDs derived
from source systems is not sufficient.
Must-have experience
- Demonstrable hands-on delivery of conceptual data models in complex enterprise environments.
- Practical experience developing or applying business or domain ontologies, taxonomies or related knowledge-representation models.
- Experience defining concepts independently of application schemas and vendor technologies.
- Experience reconciling conflicting terminology and entity representations across systems or business
domains. - Strong understanding of identity, classification, relationships, cardinality, grain, time, lifecycle and business
rules. - Proven ability to facilitate decisions with business experts and architecture stakeholders and communicate clearly in English.
- Ability to translate conceptual work into logical models and practical implementation guidance.
Nice-to-have experience
- Energy, utilities, industrial infrastructure, asset management or service domains.
- Modelling assets, equipment, telemetry, maintenance, documents, media evidence or AI-generated
observations. - Metadata management, business glossaries, lineage, provenance and data governance.
- Knowledge graphs or standards such as RDF, RDFS, OWL, SKOS or SHACL.
- Dimensional modelling, Data Vault, modern lakehouse patterns and open semantic specifications such as
Apache Ossie. - Awareness of Microsoft Azure, Fabric, Databricks, dbt and multi-region or multi-tenant data platforms.
職務内容
Key responsibilities
- Work with business experts and architects to define important concepts, terminology, classifications and
relationships. - Develop and maintain enterprise and domain conceptual data models, taxonomies and pragmatic business
ontologies. - Distinguish business concepts from source-system records, application objects, tables and APIs.
Reconcile conflicting terminology, identifiers and representations across SAP, Salesforce, IoT and other
systems. - Define entity identity, lifecycle, temporal meaning and relationships, including evidence, observations and
machine-derived assertions. - Translate conceptual models into logical models, data contracts and implementation guidance together with
data architects and engineers. - Maintain traceability from business definitions to source data and downstream data products.
- Facilitate modelling workshops, document semantic decisions and establish practical modelling standards.
Expected deliverables
- Enterprise and domain conceptual data models
- Governed vocabulary, definitions and synonyms
- Taxonomies, classification models and a pragmatic business or domain ontology
- Entity identity, relationship, lifecycle and temporal definitions
- Concept-to-source and concept-to-logical-model mappings
- Modelling standards, semantic decision records and implementation guidance
私たちが提供するもの
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.
GlobalLogicについて
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
