Senior Solutions Designer

Hewlett Packard Enterprise

Senior Solutions Designer developing enterprise solutions and data-driven insights at Hewlett Packard Enterprise. Collaborating with stakeholders on sales lifecycle optimization and process improvements.

Posted 7/14/2026full-timeSunnyvale • California • 🇺🇸 United StatesSenior💰 $105,500 - $213,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering scalable data and analytics solutions, integrating enterprise data sources like SAP and Salesforce, and ensuring data quality and governance. Proven ability to lead technical initiatives, mentor teams, and drive process optimization in data engineering.

Highest-signal resume keywords

Data EngineeringData ArchitectureSnowflakeDatabricksSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureSQLPythonETL ToolsAnalytics Platform DesignData QualityData GovernanceProcess AutomationContinuous Improvement

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

SAPSalesforceCloud Data Lake

Industry Keywords

Enterprise ReportingSelf-Service AnalyticsScalable SolutionsHigh-Quality Data

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Design and deliver scalable data and analytics solutions for enterprise reporting.
Integrate SAP, Salesforce, and other enterprise data sources to ensure trusted, high-quality data.
Modernize BI platforms and enable self-service analytics.
Ensure data quality, governance, and performance across analytics solutions.
Partner with business and IT stakeholders to translate requirements into scalable technical solutions.
Drive process automation, optimization, and continuous improvement.
Provide technical leadership, establish best practices, and mentor team members.

Requirements

What you’ll need

Bachelor’s or master’s degree in computer science, Information Systems, or related field
8+ years of experience in Data Engineering/Data Architecture
3+ years of hands-on experience with Snowflake or Databricks
Experience integrating SAP and Salesforce enterprise (or) Sales application data to Cloud Data Lake
Hands-on experience with SQL, Python, Snowflake, Databricks, ETL tools, and modern data technologies , SAP & Salesforce
Experience designing enterprise-scale analytics platforms.

Benefits

Comp & perks

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion