Required Experience
10–15 years in Data Engineering, with 5+ years in pharma/biotech
Proven track record on presales, solution design and solution defence
Ability to present architecture decisions and risk trade-offs to senior client leadership
Hands-on experience on Claude Code
Hands -on experience on Generative AI pipelines, vector databases, feature stores
Hands-on experience on Databricks, Snowflake, Azure/AWS
Technical Skillset
Claude Code – prompt engineering, agentic pattern design, Git-controlled template versioning
AI/LLM : Experience integrating large language models (Claude, GPT, or equivalent) into data engineering workflows; agentic AI patterns (LangGraph, LangChain, or equivalent)
Snowflake / Databricks
Python, Pyspark, SQL
Tools: Soda, Collibra, Unity, DQ, Airflow, Streamlit, Jenkins
ServiceNow integration for ops support workflows (preferred)
Qualification
Bachelor’s/Master’s in Engineering, Computer Science, Data Science, or equivalent.
Certified Claude Architect
Certifications in cloud/data platforms preferred.
