Experience: 15+ years of experience in the data and cloud transformation space, with a proven track record of leading pre-sales efforts and client-facing roles. Experience in managing large-scale data transformations, cloud migrations, or similar initiatives.
Technical Proficiency: Strong understanding of cloud platforms (AWS, Azure, GCP), data engineering, data architecture, data pipelines, big data solutions, and cloud-native services. Familiarity with data lakes, cloud data warehouses, data fabrics, and machine learning is a plus.
Communication & Leadership: Exceptional communication and presentation skills, with the ability to clearly articulate complex technical concepts to senior executives. Proven ability to influence stakeholders at all levels and communicate a strategic vision for the client’s data and cloud transformation journey.
Problem-Solving & Consulting: Strong consulting skills with the ability to analyze complex client requirements and provide tailored solutions. Excellent at identifying opportunities for process improvements and driving business transformation through technology.
Pre-Sales & Business Development: Demonstrated success in pre-sales activities, including responding to RFPs, developing proposals, leading client presentations, and closing new business. Ability to understand client business challenges and align them with the right technical solutions. (Good to have)
Project & Team Management: Experience in leading and collaborating with cross-functional teams, ensuring timely and successful project delivery. Strong organizational skills and the ability to juggle multiple tasks at once.
Hands-on with Content Creation: Ability to be hands-on in creating and curating content for proposals, presentations, and client-facing documents. Excellent writing skills to produce clear and concise technical and business content.
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field.
Certifications (Preferred): Cloud certifications (AWS, Azure, GCP), Data Engineering or Architecture certifications, or similar industry-recognized qualifications are a plus.
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