Cloud Data Solutions Architect in UNITED KINGDOM

Cloud Data Solutions Architect with 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 highly desirable.

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.

Responsibilities:

• 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.

ESSENTIAL Required Technical Expertise:

• 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.
• 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

Desirable experience

• SAP Expertise (Huge Plus): Hands-on experience with SAP BW, BOBJ, SAP Data Analytics, SAP Datasphere, and SAP BW to Datasphere migration.

Certifications preferred (not mandatory) in cloud platforms:

• AWS Certified Solutions Architect
• Azure Solutions Architect Expert
• Google Professional Cloud Architect
• Databricks Certified Data Engineer
• Snowflake SnowPro Certification

What We Offer:

• 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.