Senior Data Architect (Pre-Sales)

Responsibilities

• Lead technical discovery sessions to understand customer requirements, challenges, environments, and desired outcomes.
• Conduct architecture reviews, platform assessments, and requirement-mapping workshops.
• Build trusted relationships with customer architects, engineering teams, and business stakeholders.
• Design end-to-end architectures across cloud, data, integration, analytics, and application platforms.
• Create solution blueprints, high-level designs, and technical roadmaps aligned with customer objectives.
• Evaluate customer environments and recommend modernization strategies, cloud migration paths, and architectural patterns.
• Ensure proposed solutions follow best practices for scalability, performance, security, and governance.
• Own the technical solution during the sales cycle, collaborating closely with sales executives to shape win strategies.
• Develop and deliver product demonstrations, proof-of-concepts (POCs), and tailored technical presentations.
• Contribute to RFP/RFI responses, solution write-ups, architecture diagrams, and effort estimations.
• Translate complex technical topics into clear, compelling value propositions for business and executive stakeholders.
• Partner with delivery, product, and engineering teams to ensure solution feasibility and alignment with capabilities.
• Mentor junior solution engineers and support internal knowledge-sharing initiatives.
• Provide market feedback to product and leadership teams to influence roadmap decisions.
• Support go-to-market initiatives, industry events, webinars, and customer workshops as a technical subject matter expert.
• Stay current with emerging technologies, cloud capabilities, and architectural best practices.
• Develop reusable solution patterns, frameworks, and technical collateral for sales acceleration.
• Represent the organization as a trusted technical advisor in customer and industry engagements.
• Develop and deliver dashboards and reports using Power BI and Tableau.
• Required Skills and Qualifications:
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 12+ years of experience in solution architecture, pre-sales engineering, consulting, or technical leadership roles.
• Hands-on experience with cloud platforms (Azure, AWS, GCP) and modern architectural frameworks.
• Proven experience of data platforms(Microsoft Fabric, Snowflake or Databricks), analytics, integration patterns, APIs, and application architectures.
• Strong understanding of AI/GenAI data workflows, feature engineering, and architecture patterns.
• Ability to design and articulate high-level and detailed architectures for enterprise use cases.
• Exceptional presentation, communication, and storytelling skills tailored to both technical and executive audiences.
• Strong problem-solving abilities and the capability to guide customers through complex solution decisions.
• Experience running demos, POCs, and technical evaluations during sales cycles.
• Strong stakeholder management and consulting skills, with a customer-first mindset.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau
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Additional Information

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Job Overview: We are seeking a senior Solution Architect to lead pre-sales and customer-facing technical engagements, design end-to-end cloud and data platform architectures, and act as a trusted advisor for enterprise clients. The role focuses on translating business needs into scalable, secure solutions across cloud, data, analytics, and AI/GenAI platforms, while supporting sales cycles through architecture design, demos, POCs, and thought leadership.

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