Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Software Engineer, Data Platform in India.

In this role, you will define and evolve the core semantic layer that powers enterprise-scale data products and analytics experiences. You will sit at the heart of a modern data platform, ensuring that business metrics, dimensions, and logic are consistent, reliable, and easily consumable across multiple product surfaces. Your work will directly influence reporting systems, analytics capabilities, and emerging AI-driven data experiences. This is a high-impact, hands-on technical leadership role combining deep data architecture expertise with product thinking. You will collaborate across data engineering, platform, and product teams to build scalable, trusted data foundations. The environment is fast-moving and highly collaborative, with a strong focus on performance, governance, and innovation. You will also play a key role in shaping how AI interacts with structured data at scale.

Accountabilities:

• 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.

Requirements

The ideal candidate brings 10+ years of experience in software engineering or data engineering roles, with strong expertise in building scalable, high-performance data systems. You should have deep experience in semantic modeling, data platform architecture, and large-scale data processing. Strong proficiency in SQL and Python is essential, along with 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 is highly desirable. You should also have exposure to distributed data systems like Spark and streaming technologies such as Kafka or Kinesis. A strong understanding of data product design, APIs, and platform-level abstractions is important. Excellent communication skills and the ability to influence technical direction across teams are key. Experience using AI coding tools in daily development workflows is increasingly important for success in this role.

Benefits

• Competitive compensation aligned with senior and principal engineering roles
• Remote-friendly work setup with flexibility to collaborate across global teams
• Opportunity to define foundational data architecture for large-scale analytics products
• Strong focus on innovation, AI adoption, and modern engineering practices
• Career growth in a high-impact, platform-level technical leadership role
• Exposure to cutting-edge data technologies and AI-driven analytics systems
• Inclusive, collaborative, and engineering-driven culture.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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