Principal Software Engineer, Data Platform

New

IndiaFull-TimePrincipal

Salary not disclosed

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Job Details

10+ years of experience in software engineering or data engineering roles
Deep expertise in semantic modeling and data platform architecture
Strong proficiency in SQL and Python
Hands-on experience in modern data ecosystems such as Snowflake, ClickHouse, or similar OLAP systems
Experience with dbt and semantic modeling frameworks such as MetricFlow
Exposure to distributed data systems like Spark
Experience with streaming technologies such as Kafka or Kinesis
Strong understanding of data product design, APIs, and platform-level abstractions
Excellent communication and technical influence skills
Experience using AI coding tools

Design and evolve the semantic modeling layer that serves as the single source of truth for business metrics, dimensions, entities, and analytical logic across all data products.
Define standards for semantic model creation, versioning, testing, governance, and lifecycle management to ensure consistency and reliability at scale.
Architect how the semantic layer is consumed across multiple product surfaces, including reporting systems and AI-driven analytics experiences.
Own performance optimization strategies including query tuning, materialization, pre-aggregation, and cost efficiency for large-scale data workloads.
Build the semantic layer as a scalable platform, enabling self-service metric creation, strong documentation, validation frameworks, and governance guardrails.
Lead technical discussions and architectural decisions across teams, mentoring engineers and driving alignment across data and product stakeholders.
Champion AI-augmented engineering practices to improve development velocity and standardize the use of AI tools across the team.

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