Lead Data Engineer-Context Engineering Ontology

About Us

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)