What you can expect
You will architect our data platform's foundation from ingestion to semantic layer. You'll partner with business and AI teams to design production-grade, self-service data systems. Your work directly enables reliable analytics at scale and deterministic LLM querying
About the Team
We build the core data infrastructure powering analytics and AI across the organization. Our team operates at the intersection of systems engineering, domain modeling, and client delivery. We prioritize long-term technical health alongside rapid iteration.
Responsibilities
Designing and building scalable, fault-tolerant data pipelines that transform raw source data into trusted, well-documented datasets across batch and streaming patterns.
Owning data quality and observability end-to-end — implementing monitoring, alerting, testing, and documentation for all pipelines and models.
Building and evolving the semantic and metric layer, establishing context and guardrails that let both human analysts and AI agents query data reliably.




Architecting well-modeled datasets applying dimensional modeling, Data Vault, or One Big Table principles with sound grain definition and key strategy.
Engineering enterprise-scale data solutions leveraging Generative AI frameworks (Codex, Claude Code, Snowflake Cortex) to accelerate development and intelligent analytics.
What we’re looking for
Have 6+ years of software engineering experience (or equivalent practical experience) with substantial focus on data architecture or system design.
Demonstrate proven ability to architect or design complex data models (grain selection, key strategy, schema design) and scale data platforms in multi-tenant environments.
Show fluency in Python, Java, or Scala with solid software engineering fundamentals.
Possess deep expertise in data modeling paradigms: dimensional modeling, Data Vault, or One Big Table.
Partner directly with business teams, product leaders, or external clients to translate ambiguous requi

📌 Software Engineer, Data Foundation (India)
🏢 Zoom
📍 India