Senior Data Systems Engineer — Pre-Sales Leader

Dell Inc.

New Jersey

On-site

USD 120,000 - 190,000

Full time

2 days ago
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Job summary

Dell Technologies is seeking a Senior Systems Engineer, Data Management to lead pre-sales technical support and craft comprehensive data management solutions for enterprise customers. You’ll engage with field sales to specify architectures, demonstrate capabilities, and design end-to-end data pipelines integrating multiple platforms.

You will collaborate with customers to understand needs, translate them into analytics-ready requirements, and guide implementation with a strong emphasis on data

Qualifications

  • Experience designing data pipelines and data models for analytics.
  • Strong SQL and data modeling skills for complex queries.
  • Hands-on with BI tools for dashboards and self-service analytics.
  • Excellent communication to translate technical topics for stakeholders.
  • Ability to translate business problems into data and analytics use cases.

Responsibilities

  • Build and lead relationships for highly sophisticated customer accounts
  • Conduct needs analysis and anticipate requirements beyond existing solution scope
  • Prepare detailed product specifications to enable sales and deliver impactful presentations
  • Verify operability of complex configurations within the customer environment
  • Perform advanced systems integration and provide technical expertise to design and implement the solution

Skills

Data engineering
SQL proficiency
BI analytics
Communication
Problem solving

Tools

Airflow
dbt
Spark
Tableau
Power BI
Elasticsearch

Job description

Dell Technologies is seeking a Senior Systems Engineer, Data Management to lead pre-sales technical support and craft comprehensive data management solutions for enterprise customers. You’ll engage with field sales to specify architectures, demonstrate capabilities, and design end-to-end data pipelines integrating multiple platforms.

You will collaborate with customers to understand needs, translate them into analytics-ready requirements, and guide implementation with a strong emphasis on data

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