Cloud Data Solutions Architect

Position Overview

We are seeking a highly skilled and experienced Cloud Data Solutions Architect with a strong background in consulting, sales, and commercial strategy. This role is ideal for a cloud solutions sales professional specializing in data analytics offerings who can serve as an overlay sales support for our core sales team. The candidate will have hands‐on technical expertise with AWS, Azure, or GCP, proficiency in SAP BW and SAP Datasphere migration strategies, and experience migrating legacy data platforms to modern cloud environments.

Key Responsibilities

• Cloud Data Solutions Sales – Lead sales engagements to position cloud data solutions for enterprise clients and support BDMs and sales teams.
• Proposals, RFPs, and SOWs – Spearhead the creation of proposals, respond to RFPs, and develop statements of work 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 designs.
• 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 migrations from legacy data platforms to modern cloud solutions.
• 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.

Required Qualifications

• Cloud Platforms (Mandatory): Expertise with AWS, Azure, or GCP including services like Redshift, BigQuery, and Synapse/Microsoft Fabric.
• SAP Expertise (Huge Plus): Hands-on experience with SAP BW, BOBJ, SAP Data Analytics, SAP Datasphere, and SAP BW to Datasphere migration.
• Legacy to Cloud Migration – Proven experience migrating legacy data platforms to modern cloud environments.
• Data Platforms – Proficiency in Databricks, Snowflake, BigQuery, and Synapse/Microsoft Fabric for data processing and analytics.
• ETL/ELT Data Pipelines – Strong experience in designing and managing ETL/ELT processes, data pipeline orchestration, and Change Data Capture (CDC) techniques.
• Open Source Table Formats – Experience with Apache Iceberg and Delta Lake for large-scale data lake management.
• Data Modeling – Knowledge of advanced data modeling techniques such as Data Vault and Data Mesh.
• Programming & Scripting – Proficiency in Python, SQL, and other relevant programming languages.
• Education – Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s is a plus).
• Experience – 15+ years in roles such as Data Solutions Consultant, Pre-Sales Data Engineer, or cloud data architecture with a track record in closing complex cloud data deals.
• Familiarity with enterprise data governance, security, and compliance requirements, as well as CI/CD pipelines and DevOps practices for data engineering.

Preferred Qualifications

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