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Bengaluru · Hybrid · 5-8 Yrs · Oct 3
Information Technology Support Services · 10000+ Employees · London, US
Hiring: Engineering
What employees say
+ Work Life Balance is great.
− Career Progression is stilted and not good.
More reviews on the company profile.
Interview experience · Associate STEM content analyst
The interview process had two rounds. The first round was a written/online assessment. In this round, they asked questions related to basic technical concepts, electronics fundamentals, and some trending technologies. T
Easy difficulty · Chennai · 129 reports
More interview insightsJob description
Overview
We are seeking a Senior Product AI Data Engineer / Architect to define, build, and scale enterprise-grade AI-ready data platforms for the Life Sciences and Healthcare (LSH) ecosystem.
Responsibilities
- Define and evolve enterprise-level product data architecture across multiple product lines, ensuring scalability, reliability, and AI/ML readiness.
- Architect scalable ETL/ELT pipelines and distributed data workflows for analytics, AI, and product intelligence.
- Develop and enforce dimensional data modeling standards (star schemas, snowflake schemas) across the organization.
- Design and maintain fact and dimension tables, ensuring proper grain, SCD handling, hierarchical dimensions, and high-performance queries.
- Establish data architecture principles, naming conventions, and best practices for ETL/ELT, event tracking, and AI pipelines.
- Serve as the technical authority guiding architecture decisions to meet product, platform, and AI requirements
- Partner with cross-functional teams to translate requirements into highly scalable, analytics- and AI-ready data models and pipelines.
- Curate and validate datasets for machine learning, experimentation, and advanced analytics.
- Evolve event-driven architectures to align with dimensional modeling and downstream analytics.
- Establish feature store frameworks and reusable AI data pipelines across multiple products.
Qualifications
- 5+ years of professional experience in Data Engineering, Analytics Engineering, or Data Architecture.
- Proven experience in enterprise-scale data architecture and distributed pipeline design. Expert-level proficiency in SQL and relational database design.
- Strong hands-on experience in Python for pipeline automation, orchestration, and data framework development.
- Deep expertise in dimensional modeling, including star and snowflake schemas, fact/dimension tables, SCDs, surrogate keys, and hierarchical dimensions.
- Familiarity with modern data orchestration and transformation tools: dbt, Airflow, Fivetran, Segment.
- Exposure to BI and visualization tools: Power BI, Tableau, Looker, SAP BusinessObjects.
- Background in Life Sciences or Healthcare analytics.
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Job application FAQ
Last updated 8 October 2026
- How do I apply for Senior Product AI Data Engineer at Clarivate?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Clarivate may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Product AI Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Product AI Data Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior Product AI Data Engineer role at Clarivate?
- This is a senior Senior Product AI Data Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.