SoftServe · 11 hours ago
Big Data Pre-Sales Architect (Microsoft)
SoftServe is a global digital solutions company headquartered in Austin, Texas, and they are seeking a Big Data Pre-Sales Architect specializing in Microsoft technologies. This role supports the Sales team by addressing technical challenges and involves collaborating with experts throughout the deal pursuit cycle to deliver data-oriented solutions.
Responsibilities
Work on design, delivery, and support of a variety of solutions that help our clients meet business objectives
Address different business and technology challenges, and drive multiple initiatives as a part of the Center of Excellence
Act as a bridge between Sales and Delivery teams, advise, scope, develop, and accurately estimate new data-oriented engagements: from establishing high-level data strategy and governance, through data migrations and data processing pipelines, up to AI data foundations
Ensure delivered solutions align with customer requirements and have measurable ROI
Collaborate with the Sales Team to support strategies and client engagements, expanding client understanding of data-focused Azure Cloud possibilities
Serve as a Azure (Big)Data Cloud subject matter expert in sales meetings and presentations
Build proposals with phased implementation strategies, tailoring responses to RFPs
Work with data engineering teams to demonstrate Azure-based Data & Analytics solutions aligned with sales and client goals
Identify the business challenges and map them to core Azure capabilities and communicate complex technical concepts to a non-technical audience
Manage client relationships in a sales context, demonstrating long-term value
Qualification
Required
At least 5 years of pre-sales experience, focusing on solutions centered around (big) data and analytics
Advanced knowledge and hands-on experience with cloud-based (Microsoft Azure as the primary cloud provider) Big Data solutions (relevant certifications would be a plus)
Experience working with a variety of architectural methodologies, like Attribute Driven Design (ADD)
Proficiency in developing strategic sales plans, specifically for Azure-based implementations of Data & Analytics systems, and digital transformations
Excellent communication skills for running pre-sales pitches, workshops, and delivering persuasive product demonstrations
Creativity in proposing Data & Analytics solutions, driven by innovative Centers of Excellence and phased implementation strategies
Passion for driving technology solutions tailored to industry business problems within the Azure ecosystem
Strong client and partner relationship management skills, focusing on understanding and expanding client needs within the realm of Microsoft Azure
Ability to analyze market trends and translate these insights into actionable sales strategies involving Azure
Excitement to be a crucial player in the intersection of sales and technology, supporting strategic engagements with clients
Education: Bachelor's or Master's degree in a relevant field (Computer Science, Data Engineering, Business IT, etc.)
Certifications: Relevant Microsoft Azure certifications are a plus
Preferred
Deep familiarity with the Microsoft Azure ecosystem and its data services
Experience in customer-facing engagements, presenting technical topics to executive audiences
Previous participation in large-scale digital transformation initiatives
Hands-on background in data engineering or solution architecture
Active involvement in innovation efforts or Centers of Excellence
Company
SoftServe
SoftServe is a digital authority that advises and provides at the cutting-edge of technology.
H1B Sponsorship
SoftServe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (8)
Funding
Current Stage
Late StageLeadership Team
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