Design, build, and operate a secure, on-premise analytics and AI platform
Own end-to-end technical delivery from data ingestion and modeling to AI-driven analytics
Design and implement secure data pipelines to migrate and unify data
Build and optimize ELT/ETL workflows, data models, and schemas for analytics
Ensure high data quality, lineage, and reconciliation
Build analytics datasets and semantic layers to support reporting
Enable self-service analytics for business teams
Collaborate with stakeholders to define KPIs and metrics
Design and deploy on-prem ML and LLM solutions for reporting automation
Integrate AI outputs into applications and reporting solutions
Enforce data security and compliance across platforms.

8+ years of experience in software engineering, data platforms, or analytics engineering
Strong expertise in SQL, with hands-on experience in Snowflake and PostgreSQL
Proven experience building and operating secure ETL/ELT data pipelines
Hands-on experience with machine learning and analytics-driven AI use cases
Experience working with LLMs in private environments
Proficiency in Python for data processing, analytics, and ML workflows
Experience integrating analytics and AI capabilities into enterprise applications via APIs and services
Familiarity with microservices and REST APIs
Experience deploying workloads in on-prem, private cloud, or hybrid environments
Strong understanding of data security, encryption, access controls, and operating in regulated environments
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Principal Data & AI Platform Engineer

Key skills