20 hours ago
Remote, India or Bengaluru, IndiaStaff+
Responsibilities
- Serve as a trusted technical advisor to Databricks, customers, and partners on Microsoft Azure and Databricks investments.
- Lead architecture reviews, technical strategy discussions, proof-of-concepts, production deployments, technical assessments, and workload modernization initiatives.
- Design, validate, and optimize enterprise-scale architectures using Databricks, Azure data services, AI services, and cloud-native technologies.
- Resolve technical blockers affecting deployment, scalability, adoption, and customer success outcomes.
- Develop reusable intellectual property, reference architectures, technical guidance, and deployment accelerators.
- Lead virtual teams and collaborate with Microsoft Sales, Customer Success, Engineering, Product, Partner, and Databricks teams.
- Represent Microsoft and Databricks in customer engagements, industry events, technical communities, and field enablement activities.
- Drive Azure consumption, Databricks adoption, customer success metrics, partner solution development, and growth opportunities.
- Share customer and partner insights with Product and Engineering teams and contribute to technical thought leadership.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field and 7+ years of relevant experience, or equivalent experience.
- 6+ years of customer-facing technical sales experience and 6+ years of experience leading technical projects.
- Deep expertise in Databricks, Apache Spark, Delta Lake, and modern Data and AI platforms, including data engineering, analytics, machine learning, and generative AI workloads.
- Experience designing, architecting, and deploying enterprise-scale cloud solutions on Microsoft Azure, including Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, Azure Synapse Analytics, Azure AI Services, and Azure Machine Learning.
- Strong experience building and modernizing data lakes, data warehouses, streaming architectures, advanced analytics environments, distributed applications, and data platforms.
- Demonstrated success in customer-facing architecture, consulting, technical sales, customer success, or solution delivery for complex enterprise transformations.
- Understanding of cloud architecture and operational excellence, including security, identity, networking, governance, reliability, scalability, and performance optimization.
- Experience engaging executive stakeholders, technical decision-makers, architects, and engineering teams to drive strategic outcomes.
- One or more Databricks or Microsoft Azure Databricks certifications, or equivalent.
- Preferred qualifications include a bachelor's degree with 8+ years of relevant experience, a master's degree with 6+ years of relevant experience, or equivalent experience.
- Preferred capabilities include customer listening, situational fluency, trusted advisership, relationship building, Well-Architected Framework and Cloud Adoption Framework knowledge, and architecture design skills.
- Ability to meet Microsoft, customer, and government security screening requirements, including the Microsoft Cloud Background Check.
Benefits
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
- Employment requires passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Tech Stack
Categories
Solutions Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.