Western Digital
Computer Hardware
DataQualityEngineer,EnterpriseDataPlatform-DataQuality&Datagovernance)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Quality Engineer, Enterprise Data Platform - Data Quality & Data governance) at Western Digital. Skills: Data Quality, Data Governance, Databricks, AWS. Build automated validation frameworks. Develop tests for data quality”
What You'll Achieve.
Ensure data is certified; Ensure data is discoverable; Ensure data is AII-ready; Ensure data quality dimensions are met; Enable humans and AI to trust data; Support BI and AI-driven consumption; Support self-service reporting; Align semantic models with glossaries; Fuel conversational analytics experiences; Ground LLM responses; Reduce LLM hallucinations; Maintain trust in data; Ensure input data meets quality dimensions
Industry & Context.
What They're Looking For.
Must Have
Advance experience in data engineering, data quality, data governance roles, Python, PySpark, SQL, Databricks (Delta Lake, Unity Catalog, Delta Live Tables), Apache Iceberg, AWS data stack (S3, Glue ETL, Glue Catalog, Athena, EMR, Redshift, SageMaker Studio), Power BI semantic modeling, DAX, dataset certification, Dremio or query engines (Trino, Presto)
Nice to Have
Conversational Analytics platforms, LLM-powered BI, natural language query over Lakehouse/Power BI, LLM pipelines (LangChain, OpenAI, AWS Bedrock, etc.), data observability tools (Monte Carlo, Bigeye, DataDogs, Grafana), data compliance frameworks (GDPR, CCPA, HIPAA), AWS Data Analytics Specialty, Databricks Certified Data Engineer
What You'll Do.
Build automated validation frameworks
Develop tests for data quality
Integrate validation into pipelines
Define data certification workflows
Leverage Atlan for metadata management
Utilize Iceberg features
Build governed semantic layer
Enable Power BI dashboards
Partner with data stewards
Prepare certified datasets for analytics
Collaborate with AI/ML teams
Ensure LLM response quality
Provide certified datasets for ML
Collaborate with ML engineers
Establish monitoring for data drift
Enforce data quality dimensions
How You'll Work.
Team & Collaboration
Partner with data stewards; Collaborate with AI/ML teams; Collaborate with ML engineers
Full Job 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. About the Role We are seeking a skilled and forward-thinking Data Quality Engineer to advance the data trust, governance, and certification framework for our enterprise Data Lakehouse platform built on Databricks, Apache Iceberg, AWS (Glue, Glue Catalog, SageMaker Studio), Dremio, Atlan, and Power BI. This role is critical in ensuring that data across Bronze (raw), Silver (curated), and Gold (business-ready) layers is certified, discoverable, and AI/BI-ready. You will design data quality pipelines, semantic layers, and governance workflows, enabling both Power BI dashboards and Conversational Analytics leveraging LLMs (Large Language Mo
Applying for this Data Quality Engineer, Enterprise Data Platform - Data Quality & Data governance) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Western Digital?
Real rants from real employees. Read before you apply.