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- Tasks: Lead sales engagements and develop cloud data solutions 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: Bison Global Technology Search
Contact Detail:
Bison Global Technology Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAP Cloud Data Solutions Architect
✨Tip Number 1
Network with professionals in the SAP and cloud data space. Attend industry events, webinars, or local meetups to connect with potential colleagues and clients. Building relationships can lead to valuable insights and job opportunities.
✨Tip Number 2
Familiarise yourself with the latest trends in cloud data solutions and analytics. Stay updated on SAP BW to SAP Datasphere migration strategies and cloud platforms like AWS, Azure, and GCP. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 3
Prepare to discuss your experience with proposals, RFPs, and SOWs in detail. Be ready to share specific examples of how you've successfully closed complex cloud deals, as this will demonstrate your expertise and value to our team.
✨Tip Number 4
Showcase your understanding of enterprise security and data governance frameworks. Highlight any relevant projects where you've implemented these standards, as this is crucial for ensuring compliance and building trust with enterprise clients.
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: Include details of specific projects where you have successfully implemented cloud data solutions or migrated legacy data platforms to modern cloud environments. Highlight your role in these projects and the outcomes achieved.
Highlight Certifications: If you have any relevant certifications, such as AWS Certified Solutions Architect or Google Professional Cloud Architect, make sure to mention them prominently. This can set you apart from other candidates and demonstrate your commitment to professional development.
How to prepare for a job interview at Bison Global Technology Search
✨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 deals. Discuss your approach to building proposals, responding to RFPs, and crafting SOWs that align with client needs.
✨Understand Data Governance and Security
Familiarise yourself with enterprise security and data governance frameworks. Be ready to explain how you've implemented compliance measures in past projects, especially using tools like Collibra or Informatica.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in legacy data platform migrations and how you overcame them, as well as how you would approach potential client scenarios.
