Job Description

Employment Type: Full-time Location Type: Remote

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.
• Possess deep knowledge of data engineering principles, tools, and technologies.
• Provide direction and guidance on data architecture, solution design, and implementation strategies.
• Design and implement data pipelines, data warehouse, and data lake using modern technology components like Spark, Iceberg, Delta Lake, Scala, Python etc.
• Implement and enforce data governance policies, including data security controls and privacy regulations.
• Define and maintain end-to-end data flows, Data Lineage, and Data Catalog for various data marts.
• Act as a liaison between solution architects, BSA’s, and data engineers to ensure compliance with standards for Data integrations, data management, and review 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 encouraging the team to continuously improve their skills.

Qualifications

REQUIRED

• Bachelor’s degree or higher in Computer Science, Engineering, or a 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 with various data quality tools like Informatica Data Quality, Atlan, Collibra, etc.
• Demonstrable experience working with data structures coming from a variety of ERP, CRM, and other data sources.
• Experience working with at least one major cloud data platforms like AWS, Azure, or Google.
• Experience working with at least one modern Lakehouse platforms like Databricks or Snowflake.
• Experience working with Tableau, Power BI, or other Data Visualization tools.