Lead Data Engineer-Context Engineering Ontology

About the Role: We are looking for aLead Data Engineerto 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 inontology 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 betweendata engineering, semantic modeling, data governance, and emerging GenAI/context engineering use cases .Key Responsibilities Lead the design and development ofenterprise 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 forentity resolution, semantic modeling, and metadata managementacross complex enterprise datasets. Establish and applysemantic standardsto improve consistency and interoperability across data domains. Partner with business, data, and engineering stakeholders to translate retail concepts and requirements into robust domain models. Incorporatedata governance and stewardship principlesinto ontology and metadata solutions. Supportprompt and context engineeringuse 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 withontology design and/or knowledge graph development .Experience withdomain modeling, semantic data modeling, and entity resolution .Strong understanding ofmetadata management, semantic standards, data governance, and data stewardship .Advanced proficiency inPython and SQL .Experience building solutions withinGCPenvironments. Experience designing or consumingAPIs and cloud-based services .Ability to operate at both thearchitecture/design level and hands-on engineering level .Strong communication skills with the ability to work across technical and business stakeholders.

What We’re Looking For: We’re looking for someone who is more than a traditional data engineer. The strongest candidate will understandhow 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 Math MagicianEmbrace 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)