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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)