
Solutions Architect IV – Datasphere
Integer Holdings Corporation
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Cloud
About the role
- Architect and implement SAP Datasphere solutions for enterprise-wide analytics
- Design and optimize data pipelines for real-time and batch analytics
- Work on integration efforts between SAP Datasphere, S/4HANA, BW/4HANA, and external platforms
- Design and build data enabled (reports and dashboards) solutions
- Leverage SAP BTP services to extend analytics functionality
- Help define and enforce data architecture standards for performance and compliance
- Collaborate with cross-functional teams and executive stakeholders
- Maintain documentation of configurations, processes, and change management
- Mentor and provide technical leadership to project teams
- Stay current on SAP innovations and recommend improvements
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or related field
- 3-5 years of experience in SAP analytics and data architecture
- At least 3 years in SAP Datasphere and BTP
- At least 2 full-cycle SAP analytics implementations in an architect or lead role
- Proven experience with SAP S/4HANA and cloud-native SAP solutions
- Deep expertise in SAP Datasphere: semantic modeling, data virtualization, integration, governance, and security
- Strong knowledge of SAP BTP, including SAP Analytics Cloud, SAP HANA Cloud, and AI enablement
- Familiarity with predictive analytics, machine learning integration, and data science pipelines
- Exposure with leading AI and ML platforms (e.g., DataRobot) for advanced analytics and augmented intelligence
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible working hours
- Professional development opportunities
- Travel for up to 30% of the time
- Comprehensive benefits package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SAP Dataspheredata architecturedata pipelinessemantic modelingdata virtualizationintegrationgovernancesecuritypredictive analyticsmachine learning
Soft skills
collaborationmentoringtechnical leadershipcommunicationdocumentation