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- Tasks: Lead sales for cloud data solutions and manage proposals for enterprise clients.
- Company: Join a dynamic team focused on innovative cloud data solutions.
- Benefits: Enjoy 100% remote work, training resources, and a budget for certifications.
- Why this job: Be part of a collaborative team that values continuous learning and impactful data solutions.
- Qualifications: Experience in SAP BW, cloud platforms, and sales execution is essential.
- Other info: Certifications in cloud platforms are preferred but not mandatory.
The predicted salary is between 48000 - 84000 £ per year.
SAP Cloud Data Solutions Architect with SAP BW - SAP Datasphere migration experience and a strong background in consulting, sales, and commercial strategy to join our dynamic team. This role is ideal for a cloud solutions sales professional specializing in data analytics offerings who can serve as an overlay sales for our core sales team. The ideal candidate will have experience in building proposals, responding to RFPs, and drafting SOWs, as well as a track record in closing complex cloud data deals with enterprise clients.
In addition to hands-on technical expertise with AWS, Azure, or GCP, proficiency in SAP BW - SAP Datasphere migration strategies and experience with legacy data platform to modern cloud platform migration is essential.
Key Expertise:- Consulting & Commercial Strategy: Ability to provide consulting solutions and commercial proposals to develop strategies for selling cloud-based data analytics offerings.
- Sales Execution: Proven ability to develop and close cloud deals, especially within the enterprise data platform space.
- Proposals, RFPs, and SOWs: Experience in building comprehensive proposals, responding to RFPs, and crafting SOWs to meet customer requirements.
- Cloud Platforms (Mandatory): Expertise in AWS, Azure, or GCP is required for cloud architecture and data strategy development.
- SAP Expertise (Huge Plus): Hands-on experience with SAP BW to SAP Datasphere migration and SAP Data Analytics.
- Enterprise Security & Data Governance: Deep expertise in implementing enterprise-grade security, data governance frameworks, and compliance with global regulations.
- Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics.
- SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales teams.
- Proposals, RFPs, and SOWs: Spearhead the creation of proposals, respond to RFPs, and develop SOWs that align with customer needs and business strategies.
- Cloud Architecture: Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments.
- Data Engineering: Develop and manage ETL/ELT pipelines, data integration workflows, and implement CDC and delta load design for effective data management.
- SAP Tools: Lead SAP BW to SAP Datasphere migration strategies and leverage SAP Data Analytics for cloud solutions.
- Legacy Data Platform Migration: Design and execute legacy data platform to modern cloud platform migration strategies, ensuring minimal disruption and optimal performance.
- Collaboration: Work closely with clients and internal stakeholders to deliver tailored, high-value data solutions.
- Data Governance & Security: Ensure compliance with governance and security standards using tools such as Collibra, Informatica and SAP Datasphere.
- Hands-on experience with SAP BW, BOBJ, SAP Data Analytics, SAP Datasphere, and SAP BW to Datasphere migration.
- Proposals, RFPs, and SOWs: Sales Execution: Proven ability to develop and close cloud deals, especially within the enterprise data platform space.
- Experience in building comprehensive proposals, responding to RFPs, and crafting SOWs to meet customer requirements.
- Cloud Platforms (Mandatory): Expertise in AWS, Azure, or GCP is required for cloud architecture and data strategy development.
- Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics.
- Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales teams.
- AWS Certified Solutions Architect
- Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Databricks Certified Data Engineer
- Snowflake SnowPro Certification
- Remote Work: Enjoy the flexibility of 100% remote work.
- Training & Development: Access to resources like A Cloud Guru and a generous budget for certifications.
- Team: Work with a collaborative, innovative team that values continuous learning and improvement.
SAP Cloud Data Solutions Architect employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAP Cloud Data Solutions Architect
✨Tip Number 1
Familiarise yourself with the latest trends in cloud data solutions, especially focusing on SAP BW to SAP Datasphere migration. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the SAP and cloud data space. Attend relevant webinars, workshops, or industry events to connect with potential colleagues and learn more about the challenges they face, which can give you an edge in discussions during the hiring process.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully closed complex cloud data deals in the past. Highlighting your sales execution skills with concrete results will make a strong impression on our hiring team.
✨Tip Number 4
Showcase your understanding of enterprise security and data governance frameworks. Being able to articulate how you ensure compliance with global regulations will set you apart as a candidate who understands the broader implications of cloud data solutions.
We think you need these skills to ace SAP Cloud Data Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAP BW, cloud platforms like AWS, Azure, or GCP, and your success in closing complex cloud data deals. Use specific examples that demonstrate your consulting and commercial strategy skills.
Craft a Compelling Cover Letter: In your cover letter, emphasise your expertise in SAP Datasphere migration and your ability to develop proposals, respond to RFPs, and create SOWs. Show how your background aligns with the responsibilities of the role and express your enthusiasm for joining the team.
Showcase Relevant Projects: If you have worked on projects involving legacy data platform migrations or cloud architecture design, be sure to include these in your application. Detail your role, the challenges faced, and the outcomes achieved to illustrate your hands-on technical expertise.
Highlight Certifications: If you hold any relevant certifications, such as AWS Certified Solutions Architect or Google Professional Cloud Architect, mention them prominently in your application. This can set you apart from other candidates and demonstrate your commitment to professional development.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with SAP BW, SAP Datasphere, and cloud platforms like AWS, Azure, or GCP. Highlight specific projects where you successfully executed migrations or developed data strategies.
✨Demonstrate Sales Acumen
Since this role involves sales execution, come ready to share examples of how you've closed complex cloud data deals. Discuss your approach to building proposals, responding to RFPs, and crafting SOWs that align with client needs.
✨Understand the Client's Needs
Research the company and its clients beforehand. Be ready to discuss how you can tailor cloud data solutions to meet their specific requirements, showcasing your consulting and commercial strategy skills.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-world situations. Think about challenges you've faced in legacy data platform migrations and how you overcame them, ensuring minimal disruption.
