We are seeking a Lead Product Development AI Engineer to design, build, and optimize end-to-end data architecture and scalable data platforms that power product analytics and AI-driven capabilities. This role is intended for highly experienced data engineers with 7+ years of experience and deep expertise in data architecture, dimensional data modeling, analytics architecture, and AI-ready data pipelines.
About You – experience, education, skills, and accomplishments
- Bachelor’s degree in engineering or master’s degree (BE, ME, B Tech, MTech, MCA, MS)
- Minimum 7+ years of professional experience in data engineering, analytics engineering, or data architecture–heavy roles.
- Expert-level proficiency in SQL and relational database design.
- Strong programming experience in Python for data pipelines and automation.
- Deep hands-on experience with data architecture and dimensional data modeling, including star schemas, snowflake schemas, fact tables, and dimension tables.
- Robust understanding of slowly changing dimensions (SCDs), surrogate keys, grain definition,



and hierarchical dimensions.
- Experience designing and operating ETL/ELT pipelines for production analytics and AI/ML workloads.
- Ability to influence technical outcomes through architectural leadership and collaboration.

It would be great if you also had
- Experience with cloud data warehouses such as Snowflake, Data Bricks, BigQuery, or Amazon Redshift.
- Familiarity with tools such as dbt, Airflow, Fivetran, and Segment.
- Experience working with event-driven or semi-structured data (JSON, logs, clickstream).
- Exposure to BI and visualization tools (Power BI, Tableau, SAP BusinessObjects).
- Familiarity with AWS, Azure, or GCP, including data governance and security best practices.

What will you be doing in this role?
Data Architecture & Technical Leadership
- Own and evolve product-level data architecture, ensuring scalability, reliability, and alignment with analytics and AI/ML use cases.
- Design

📌 Lead Product AI Data Engineer (Bengaluru)
🏢 Clarivate
📍 Bengaluru