Senior Data and Analytics Engineer

Pure Storage

Bangalore, India

Full Time

Posted April 21, 2026

Not Specified

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Job Description

A Senior Finance Data Analytics Engineer responsible for designing and developing financial data models and infrastructure to provide enterprise-wide insights into key financial metrics, leveraging AI tools and ensuring data quality and governance.

Key Responsibilities

Design, build, and own the Finance Data Cube integrating financial, customer, and operational datasets
Model data to support KPIs such as CLTV and Contribution Margin across multiple dimensions
Serve as a data architect for Finance to consolidate data and answer critical questions
Leverage AI tools to automate data summarization, anomaly detection, and generate insights for Finance stakeholders
Scale data infrastructure to handle large volumes and complex financial models
Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
Translate complex financial concepts into scalable, maintainable data models
Implement data quality, lineage, and governance controls and maintain documentation of data transformations and models

Requirements

8 years of experience in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI and ML-based analytics as an added advantage
Proficiency with Snowflake and modern data stacks with strong SQL and data modeling expertise
Deep understanding of finance datasets, SAP, Contribution Margin, and CLTV; experience with these specific financial metrics would be an added advantage
Experience with data orchestration tools such as Airflow and dbt
Hands-on experience with Python, PySpark, or R for automation and model integration
Proven ability to translate financial logic into scalable data models
Experience in Cortex Analyst Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred
Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics
Ability to evaluate and apply AI responsibly in financial contexts