Lead Data Engineer-Context Engineering Ontology

MathCo; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

MathCo is seeking a Lead Data Engineer to support an Enterprise Context Layer and Ontology initiative for a leading fashion retail organization. This role focuses on designing and building the semantic foundations that connect enterprise data, business concepts, and AI-driven applications.

The ideal candidate brings strong experience in ontology design, knowledge graphs, domain modeling, metadata management, and entity resolution, along with hands-on engineering skills in Python, SQL, and cloud

Qualifications

• Strong hands-on experience with ontology design and/or knowledge graph development.
• Experience with domain modeling, semantic data modeling, and entity resolution.
• Strong understanding of metadata management, semantic standards, data governance, and data stewardship.
• Advanced proficiency in Python and SQL.
• Experience building solutions within GCP environments.
• Experience designing or consuming APIs and cloud-based services. Ability to operate at both architecture/design level and hands-on engineering level.
• Strong communication skills with the ability to work across technical and business stakeholders.

Responsibilities

• Lead the design and development of enterprise ontologies, knowledge graphs, and domain models.
• Define relationships between business entities, concepts, data assets, and metadata to establish a scalable enterprise context layer.
• Develop approaches for entity resolution, semantic modeling, and metadata management across complex enterprise datasets.
• Establish and apply semantic standards to improve consistency and interoperability across data domains.
• Partner with business, data, and engineering stakeholders to translate retail concepts and requirements into robust domain models.
• Incorporate data governance and stewardship principles into ontology and metadata solutions.
• Support prompt and context engineering use cases by making enterprise knowledge and relationships more accessible to AI-enabled applications.
• Build and integrate solutions using Python, SQL, APIs, and GCP services.
• Work with engineering infrastructure including Cloud Run, GKE, Cloud Functions, and CI/CD pipelines.

Skills

Ontology design

Knowledge graphs

Domain modeling

Metadata management

Data governance

Data stewardship

Python

SQL

Communication skills

Tools

GCP

APIs

Cloud Run

GKE

Cloud Functions

CI/CD

Job description

MathCo® (TheMathCompany) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model, combining deep technical expertise with reusable accelerators to deliver at a lower TCO.

We foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We offer exciting growth opportunities and value capabilities and attitude over experience - enabling our Mathemagicians to truly Leave a Mark.

About the Role

We are looking for a Lead Data Engineer to support an Enterprise Context Layer and Ontology initiative for a leading fashion retail organization. This role will focus on designing and building the semantic and contextual foundations that connect enterprise data, business concepts, and AI-driven applications.

The ideal candidate brings strong experience in ontology design, knowledge graphs, domain modeling, metadata management, and entity resolution, along with hands-on engineering skills in Python, SQL, and cloud technologies. Experience working with complex retail or B2C data environments would be highly valuable.

This is a great fit for someone who can bridge the gap between data engineering, semantic modeling, data governance, and emerging GenAI/context engineering use cases.

Key Responsibilities

• Lead the design and development of enterprise ontologies, knowledge graphs, and domain models.
• Define relationships between business entities, concepts, data assets, and metadata to establish a scalable enterprise context layer.
• Develop approaches for entity resolution, semantic modeling, and metadata management across complex enterprise datasets.
• Establish and apply semantic standards to improve consistency and interoperability across data domains.
• Partner with business, data, and engineering stakeholders to translate retail concepts and requirements into robust domain models.
• Incorporate data governance and stewardship principles into ontology and metadata solutions.
• Support prompt and context engineering use cases by making enterprise knowledge and relationships more accessible to AI-enabled applications.
• Build and integrate solutions using Python, SQL, APIs, and GCP services.
• Work with engineering infrastructure including Cloud Run, Google Kubernetes Engine, Cloud Functions, and CI/CD pipelines.
• Help establish scalable patterns and best practices that can extend beyond the initial pilot.

Required Qualifications

• Strong hands-on experience with ontology design and/or knowledge graph development.
• Experience with domain modeling, semantic data modeling, and entity resolution.
• Strong understanding of metadata management, semantic standards, data governance, and data stewardship.
• Advanced proficiency in Python and SQL.
• Experience building solutions within GCP environments.
• Experience designing or consuming APIs and cloud-based services.Ability to operate at both the architecture/design level and hands-on engineering level.
• Strong communication skills with the ability to work across technical and business stakeholders.

Preferred Qualifications

• Experience in fashion retail, B2C retail, e-commerce, or other consumer-focused environments.
• Experience with prompt engineering and context engineering, particularly for GenAI or AI-enabled applications.
• Familiarity with MCP interfaces.
• Experience with Atlan or similar metadata/catalog/governance platforms.
• Experience working with Cloud Run, GKE, Cloud Functions, and CI/CD.
• Experience building semantic or knowledge layers that connect structured and unstructured enterprise information.

What We’re Looking For

We’re looking for someone who is more than a traditional data engineer. The strongest candidate will understand how enterprise data connects conceptually, be comfortable defining ontologies and semantic relationships, and still be technical enough to turn those designs into scalable, production-ready solutions.

Being a MathMagician

• Embrace MathCo's open, ownership-driven culture
• Actively contribute to company-wide initiatives and innovation
• Champion diversity, equity, and inclusion by valuing diverse perspectives

Why Join Us

MathCo® is a global Enterprise AI & Analytics company trusted by Fortune 500 and Global 2000 enterprises. We are proud to be recognized as:

• Leader in Top Generative AI Service Providers - PeMa Quadrant 2023 (AIMResearch)
• Named among Inspiring Workplaces in North America (2023)
• Accredited for Inclusive Practices by the Great Place to Work Institute
• Listed among India's Best Workplaces™ for DEIB (2023)