GCP Cloud Solution Architect

Job Description

Role: Presales Senior Cloud Data Architect (with Data Warehousing Experience) Employment Type: Full-Time Professional Summary: Onix is seeking an experienced Presales Senior Cloud Data Architect with a strong background in data warehousing and cloud platforms to play a pivotal role in the presales lifecycle and solution design process. This position is key to architecting scalable, secure, and cost-efficient data solutions that align with client business objectives. The ideal candidate will have deep expertise in data architecture, modeling, and cloud data platforms such as AWS and GCP , combined with the ability to lead and influence during the presales engagement phase. Scope / Level of Decision Making: This is an exempt position operating under limited supervision , with a high degree of autonomy in presales technical solutioning, client engagement, and proposal development. Complex decisions are escalated to the manager as necessary. Primary Responsibilities: Presales & Solutioning Responsibilities: Engage early in the sales cycle to understand client requirements, gather technical objectives, and identify challenges and opportunities. Partner with sales executives to develop presales strategies , define technical win themes, and align proposed solutions with client needs. Lead the technical discovery process , including stakeholder interviews, requirement elicitation, gap analysis, and risk identification. Design comprehensive cloud data architecture solutions , ensuring alignment with business goals and technical requirements. Develop Proofs of Concept (PoCs) , technical demos, and architecture diagrams to validate proposed solutions and build client confidence. Prepare and deliver technical presentations , RFP responses, and detailed proposals for client stakeholders, including C-level executives. Collaborate with internal teams (sales, product, delivery) to scope solutions , define SOWs, and transition engagements to the implementation team. Drive technical workshops and architecture review sessions with clients to ensure stakeholder alignment. Cloud Data Architecture Responsibilities: Deliver scalable and secure end-to-end cloud data solutions across AWS, GCP, and hybrid environments. Design and implement data warehouse architectures , data lakes, ETL/ELT pipelines, and real-time data streaming solutions. Provide technical leadership and guidance across multiple client engagements and industries. Leverage AI/ML capabilities to support data intelligence, automation, and decision-making frameworks. Apply cost optimization strategies , cloud-native tools, and best practices for performance tuning and governance. Qualifications: Required Skills & Experience: 8+ years of experience in data architecture , data modeling , and data management . Strong expertise in cloud-based data platforms (AWS/GCP), including data warehousing and big data tools. Proficient in SQL, Python , and at least one additional programming language (Java, C++, Scala, etc.). Knowledge of ETL/ELT pipelines , CI/CD , and automated delivery systems . Familiarity with NoSQL and SQL databases (e.g., PostgreSQL, MongoDB). Excellent presentation, communication, and interpersonal skills especially in client-facing environments. Proven success working with C-level executives and key stakeholders . Experience with data governance , compliance, and security in cloud environments. Strong problem-solving and analytical skills . Ability to manage multiple initiatives and meet tight deadlines in a fast-paced setting. Education: Bachelors degree in Computer Science, Information Systems, or related field (or equivalent experience required). Travel Expectation: Up to 15% for client engagements and technical workshops.