Principal Engineer – Enterprise Data Platform, Data Warehouse, Data Modeling, GCP, Azure, AWS

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October 24

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Western Digital

WebsiteLinkedInAll Job Openings

B2C • B2B • Hardware

Western Digital is a leading manufacturer of data storage solutions, including solid state drives (SSDs), hard drives (HDDs), USB flash drives, and memory cards. The company provides a broad range of products for various uses, such as gaming, video surveillance, and data backup. They also offer solutions for data centers, network-attached storage (NAS), and digital photography. Western Digital is renowned for their innovation in developing storage technologies that meet the needs of both consumers and businesses.

10,000+ employees

Founded 1970

👥 B2C

🤝 B2B

🔧 Hardware

💰 $900M Post-IPO Equity on 2023-01

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options