Data Warehouse Engineering Manager

Position Summary

The Samsung TV Plus group is seeking a Data Warehouse Engineer to support the build-out and scale of our Global Data Analytics & Insights (DAI) practice. This role is critical to ensuring that high-quality, trusted, and timely data flows from internal and third-party sources into our analytics ecosystem, enabling advanced analysis, ROI measurement, and asset-level performance reporting.

You will partner closely with Analytics, Engineering, and Business stakeholders from Korea headquarters as well as regional offices to operationalize global data pipelines, ensure data accuracy and availability, and troubleshoot complex data quality issues. This role is foundational to enabling data-backed strategic decision-making and content investments, and the adoption of advanced AI-driven analytics capabilities.

Role and Responsibilities

Key Responsibilities:

• Own the ingestion and operationalization of internal and third-party data sources into centralized cloud storage (AWS S3) to enable enterprise analytics and insights.
• Ensure the accuracy, timeliness, and reliability of data pipelines supporting ROI analysis, asset-level dashboards, KPI monitoring, and executive decision support.
• Partner closely with the Engineering and Analytics teams across the globe to troubleshoot data quality issues and translate business requirements into scalable data solutions.
• Enable high-stakes business insights and narrative-driven analyses by providing trusted, well-governed, and analysis-ready datasets.
• Support the adoption of advanced analytics and AI capabilities by ensuring robust data foundations and operational excellence.

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative discipline.
• 8+ years of experience in data operations, analytics engineering, or a closely related analytics support role.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Hands-on experience integrating internal and third-party data sources into cloud-based data platforms (AWS preferred).
• Demonstrated ability to identify, troubleshoot, and resolve data quality and pipeline issues.
• Strong analytical rigor, attention to detail, and comfort operating in a fast-paced, cross-functional environment.

Preferred Qualifications:

• Experience working with BI and visualization tools (e.g., Tableau, Power BI, Looker).
• Familiarity with data orchestration and transformation tools (e.g., Airflow, dbt, or similar).
• Exposure to ROI modeling, KPI frameworks, or asset-level performance analytics.
• Strong written and verbal communication skills, with the ability to support executive-level analysis and storytelling.

Skills and Qualifications

Compensation for this role for a candidate based in Colorado is expected to be between $180,000 and $230,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.

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