Senior Software Engineer - Semantic Data Lake

📋 Description

• Design and implement the core infrastructure and control-plane services that orchestrate data
• Build reliability capabilities, including observability frameworks, quality gates, validation
• Develop self-service portals, tooling, and templates for domain teams to manage trusted data
• Automate governance and security, including data lineage, metadata management, RBAC, PII
• Contribute to AI-native data architecture, including RAG systems, agentic workflows, semantic
• Utilize AI coding assistants (Claude, GitHub Copilot, Cursor) to accelerate development and ensure

🎯 Requirements

• 4–8 years of experience in software or data engineering with focus on data transformation
• Strong SQL skills and proficiency in Python or Scala.
• Hands-on experience with AI development tools (Claude, Copilot, Cursor) in software workflow.
• Knowledge of AI-native architectures (LLM-driven apps, RAG, agentic workflows, vector/graph
• Familiarity with prompt design, SD Design, AI-assisted dev, and AI-supported code review.
• Experience with Apache Airflow and data quality frameworks (Great Expectations).

🎁 Benefits

• Competitive, market-aligned compensation.
• Comprehensive benefits supporting well-being.
• Work on modern AI-native data platforms and large-scale enterprise tech.
• Exposure to advanced data engineering, semantic modeling, agentic AI, governance, and platform
• Collaborative, cross-functional environment focused on innovation and engineering excellence.
• Opportunity to contribute to AI-assisted development practices and evolving engineering workflows.