
Data Architect
4 days ago
Direct message the job poster from Digifloat
HR Professional | HR Operations | Recruitment | Talent Acquisition | Employee Engagement | People Management | Compensation & BenefitsResponsibilities
- Technical Presentations and Demonstrations: Prepare and deliver detailed technical presentations and demonstrations that showcase the product's strengths, capabilities, and benefits, specifically highlighting machine learning functionalities and advantages.
- Solution Architecture Design: Architect and design solutions that meet client requirements, incorporating cloud computing and machine learning technologies to provide innovative and efficient solutions.
- RFP Responses and Budgeting: Analyze and respond to RFPs/RFIs with comprehensive solutions that include technical specifications, budget estimates, and cost models, ensuring alignment with customer needs and company capabilities.
- Proof of Concept (POC) Management: Lead and manage proof of concept projects to demonstrate the technical feasibility and business value of proposed solutions, particularly in scenarios involving complex machine learning applications.
- Cloud and Machine Learning Expertise: Apply in-depth knowledge of cloud services and machine learning algorithms and technologies to advocate and design cutting-edge solutions for clients.
- Research and Development (R&D): Engage in ongoing R&D to stay at the forefront of cloud and machine learning technologies, applying this knowledge to enhance product offerings and customer solutions.
- Technical Support and Consultation: Provide expert technical support and consultation throughout the sales process, addressing any technical challenges and ensuring customer confidence in the proposed solutions.
Qualifications
- Bachelor's degree in computer science, engineering, or a related field; advanced degree preferred.
- Proven experience in presales engineering or technical sales roles, with a focus on data architecture, data management, or related areas.
- Deep understanding of data architecture principles, data modeling techniques, and data integration technologies, including databases, data warehouses, ETL/ELT processes, and BI/analytics tools.
- Strong analytical and problem-solving skills, with the ability to translate customer requirements into actionable data architecture solutions.
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively engage with technical and non-technical stakeholders at all levels.
- Demonstrated ability to work collaboratively in a cross-functional team environment, balancing multiple priorities and delivering high-quality results under tight deadlines.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and familiarity with modern data architecture patterns and best practices is highly desirable.
- Certifications in relevant technologies (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer) are a plus.
or Apply now by sending your resume to hr@digifloat.com mentioning the role in the subject.
Seniority level- Entry level
- Full-time
- Engineering and Information Technology
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