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.
Solid 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 outstanding 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