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Job Summary : The Senior Context Engineer is accountable for delivering enterprise data products that integrate robust data engineering with clear, business‑aligned context. This role is a cornerstone of the EDS North Star architecture, ensuring data assets are governed, discoverable, explainable, and ready for analytics and AI enablement.

The Senior Context Engineer acts as both a technical leader and a domain steward, guiding teams across data engineering, governance, and consumption layers.

Key Responsibilities

- Architect and lead development of domain‑oriented data products using EDS cloud and data platforms

- Own and drive business semantics, definitions, and contextual models for assigned data domains

- Design data solutions leveraging Databricks, BigQuery, and GCP‑native services in alignment with EDS cloud standards

- Embed governance‑by‑design , including data quality, lineage, metadata, and access controls

- Partner with analytics, data science, and AI teams to ensure data products are AI‑ready and consumption‑ready :

- Support adoption of semantic layers,



knowledge graph capabilities, and contextual modeling approaches :

- Provide technical mentorship and architectural guidance to intermediate engineers

- Influence enterprise data platform strategy and multi‑year data maturity initiatives

Required Qualifications

- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

- 8-12+ years of experience in data engineering, analytics engineering, or data architecture :

- Deep expertise in data modeling, pipeline architecture, and scalable data design :

- Proven experience designing domain‑driven, reusable data products :

- Hands‑on experience with cloud data platforms , preferably within GCP :

- Strong understanding of metadata, lineage, data governance, and access patterns :

- Strong stakeholder communication and leadership skills

Preferred Qualifications

- Experience with knowledge graphs, semantic modeling, or enterprise metadata platforms :

- Familiarity with AI enablement patterns , including feature readiness and explainable data design

- Experience operating in large‑scale enterprise or regulated data environments

Role Impact Expectations

- Serve as context owner for critical enterprise data domains
- Drive alignment between data engineering, governance, analytics, and AI outcomes
- Enable scalable, trusted, and AI‑ready data products across EDS - Employee Type : Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

📌 Senior Context Engineer - Data Engineering (Chennai)
🏢 UPS
📍 Chennai