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Sr. Digital Solution Engineer - Data & Analytics

India, Bangalore · Job Posted May 05, 2026
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Job Description

Our purpose is to empower organizations to transform the way they work by harnessing the full potential of artificial intelligence. We guide customers through the evolving digital landscape, enabling them to unlock new opportunities, enhance productivity, and deliver exceptional employee and customer experiences. By integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, we help organizations realize seamless, innovative, and secure solutions that drive sustained growth and success in the AI era. As a Data Solution Engineer (SE), you are the technical expert responsible for engaging with customers to design, validate, and deliver data platform and analytics solutions on Microsoft Azure and Fabric. You work closely with account teams and specialists to influence technical decisions and drive business outcomes through hands-on engagements. You act as a trusted technical advisor to customers—connecting deep technical expertise with business value and enabling customers to modernize their data estate and innovate with AI

Job Responsibility

  • Build strong relationships with customer technical stakeholders
  • Understand business objectives and translate them into technical requirements
  • Provide guidance on modern data platform strategies and best practices
  • Design scalable, secure, and high-performance architectures using Azure Data Services
  • Lead architecture discussions and whiteboarding sessions
  • Align solutions to customer business outcomes and cloud best practices
  • Deliver Proof of Concepts, pilots, technical demos and prototypes, Architecture Design Sessions
  • Validate solution feasibility and demonstrate value in real-world scenarios
  • Influence and support customers in making technical decisions in favor of Azure
  • Collaborate with account teams to accelerate deal progression, identify expansion opportunities, and contribute to pipeline growth
  • Work within a cross-functional team
  • Ensure seamless transition from pre-sales to deployment and adoption

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 10+ years of strong experience in data and analytics technologies, such as: SQL, data warehousing, and ETL/ELT pipelines
  • Experience with cloud platforms (preferably Microsoft Azure)
  • Customer-facing experience (pre-sales, consulting, or architecture roles)
  • Strong communication, presentation, and problem-solving skills

Nice to have

  • Experience with Microsoft Fabric, Power BI, Azure Synapse, or Databricks or similar products
  • Data governance, security, and compliance
  • AI and advanced analytics workloads
  • Experience delivering POCs, workshops, or technical design sessions
  • Industry domain knowledge (e.g., Financial Services, Manufacturing, Retail)

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