Principal Engineer, Enterprise Data Platform

Projects Overview

Date Posted: 15-Jul-2026
Job Type: Full Time
Job Exp: 1 Year
Salary: ₹15000 / MONTH
Location: bengaluru
Education Req: Bachelor's (Preferred)

Job description

Job details

Job type

Full-time

Location

Bengaluru, Karnataka

Full job description

Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES

Provide strategic direction and technical oversight for a significant greenfield initiative focused on rebuilding and modernizing our data warehouse infrastructure.
Possessing deep knowledge of data engineering principles, tools, and technologies.
Providing direction and guidance on data architecture, solution design, and implementation strategies.
Designing and implementing data pipelines, data warehouse, and data lake using modern technology components like Spark, Iceberg, Delta Lake, Scala, Python etc.
Implementing and enforcing data governance policies, including data security controls and privacy regulations.
Define and maintain end to end data flows, Data Lineage, Data Catalog for various data marts
Be a liaison between solution architects, BSA’s and data engineers to ensure compliance to standards of Data integrations, data management and review the data solutions
Maintain inventory and roadmap of data assets across the Data Platform
Ensure best practices for data democratization architecture & data virtualization
Offer insight, guidance, prototype, and direction on the usage of latest trends and technical capabilities for Enterprise Data Management
Stay updated with the latest industry trends and best practices, sharing knowledge and encourage team to continuously improve their skill’s

Qualifications

REQUIRED

Bachelor’s degree or higher in Computer Science or Engineering or related field
Minimum 15+ years of experience working with Data Management including Data Integration/ETL (Informatica, Talend, Fivetran etc.), Data Warehouse/Lakes (Oracle, Snowflake, Databricks, Google Big Query, Redshift), Master Data Management, Data Quality, Data Modeling, Data Analytics/BI, Data Enrichment, Security and Governance.
Minimum of 7+ years of experience focused specifically on Delivery or Solution Architecture of large complex data management programs
Strong data modeling expertise in supporting both classic and modern data Lakehouse architectures.
Strong understanding and experience building ELT/ETL solutions
Experience on various data Quality tools like Informatica Data Quality, Atlan, Collibra, etc.
Demonstrable experience working with data structures coming from variety of ERP, CRM and other data sources
Experience working with at least one major cloud data platforms like AWS, Azure, Google, etc.
Experience working with at least one modern Lakehouse platforms like Databricks, Snowflake, etc.
Experience working with Tableau, Power BI, or other Data visualization tools. Knowledge of advanced analytics GenAI platforms is a plus.
Develop Entity Relationship Diagrams using and data modeling tools.
Guide technical team to tunes complex solutions, monitor system performance, and provide recommendations and means for improvement
Prototype new technologies and implement innovative solutions to enable teams to consume and understand data faster
Responsible for metadata management of data domain, inclusive of data definitions, data catalog, data lineage and documentation of data flow for critical processes, Sox compliance
Partner with Data Governance analyst and Business Data Stewards
Maintain in-depth understanding of business functions, processes, and relationships as it relates to data