Senior Data and Analytics Engineer

Confirmed live in the last 24 hours

Pure Storage

Bangalore, India

On-site

Posted April 6, 2026

Job Description

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
Be a data architect for Finance , bring different data into cohesive and answer critical questions
Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
Scale data infrastructure to support large volumes and complex financial models.
Translate complex financial concepts and KPIs into scalable, maintainable data models.
Implement strong controls for data quality, lineage, and governance.
Maintain clear documentation of data transformations, metric definitions, and AI model logic.
We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

Experience: 8–12 years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise
Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
Experience with data orchestration tools (Airflow, dbt) and tableau platform
Hands-on experience with Python, PySpark, or R for automation and model integration.
Proven ability to translate financial logic into scalable data models.
Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
Ability to evaluate and apply AI responsibly in financial contexts.

#LI-ONSITE

WHAT YOU CAN EXPECT FROM US:

Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations

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