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Cloud Solution Architect - Data & AI

Microsoft
Cairo, Egypt
Posted 5 years ago
18People have clicked1 open position
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Job Details

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Job Description

The Cloud Solution Architect (CSA) Data & AI within One Commercial Partner Organization will drive practice-based partner technical capabilities in collaboration with the Partner Development Managers (PDMs) and Partner Technology Strategist (PTS). This is a partner facing role that is accountable for developing and supporting Microsoft Data & AI practices with global services, regional services and ISV partners.

Key responsibilities include:

  • Technical Enablement: Jointly develop technical enablement plan for partners
  • Enablement Execution: Lead and or contribute to the delivery of workshops, Bootcamps, trainings necessary to build the technical skills and expertise of partners. Build strong relationships with partner technical and development resources to design and architect new Data and AI solutions
  • Technical Engagement: Lead the execution of deep technical engagements including: Technical Briefings, Proof of Concepts, Architectural Design Sessions, Hackathons to define and bring new solutions to market. Collaborate with engineering on building partner-led IP for vertical industries and regional localization solutions.
  • Partner Skilling and Sharing Best Practices: Network and collaborate with Microsoft’s Engineering, Global Black Belt and Sales and Marketing teams on specific skill requirements for partners and the sharing of best practices
  • Technical Acumen: Understands technology trends and opportunities, compliance/risk issues by reading, attending webinars, conferences delivered by Industry thought leaders such as Gartner, Forrester, IDC. Develops a multi-cloud technology adoption roadmap and advices partners on its execution according to business priorities
  • Technical Network: Invests in own LinkedIn Profile to promote value, experiences and expertise. Responsible for building an expansive Network of partner technical contacts and internal contacts including Engineering, Global Black Belts, Sales, Marketing and peer Architects
  • Evangelist: Evangelizes the partners practice and solutions in customer’s implementations via Technical briefings, Architecture Review Sessions
  • Implementation Success: Improves partner’s implementation success by increasing the number of certified architects in the partner’s organization.
  • Pre-Sales: Enable the partner on key strategic partner’s opportunities through: Technical Architectural Review, Architectural Design Sessions (ADS), Proof of Concepts, Advanced Workshops, Hackathons, Deployment and Consumption Review.

Job Requirements

Required Qualifications:

  • Proven track record of building deep technical relationships with executives and decision makers and growing cloud consumption share in large or highly strategic accounts or with strategic partners
  • 5+ years of experience in consultative/complex technical sales and deployment projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
  • 5+ years of architecture, design, implementation, and/or support of highly distributed applications (i.e. having an architectural sense for ensuring availability, reliability, etc.)
  • 2+ years of hands-on experience in “migrating” on premise Data and AI workloads to the cloud
  • Presentation skills with a high degree of comfort with both large and small technical audiences
  • Deep understanding of (cloud) computing technologies, business drivers, and emerging computing trends

Technical Skills:

  • Data Platform: RDBMS: Azure-SQL, SQL Managed Instances; RDBMS OSS: mySQL, Postgres, NO SQL: CDB, Mongo,
  • Cassandra; additionally good experience required (2+ years) in SQL DW, Analysis Services, Power BI, Azure Data Factory,
  • Advanced Analytics: SQL DW, Analysis Services, Power BI, Azure Data Factory, Azure Databricks
  • Artificial Intelligence/Machine Learning - Azure Databricks / Spark, Azure ML, Azure Search and Knowledge Mining, Azure Cognitive Services and Bots.

Additional Qualifications:

  • Experience with Rapid Application Development Frameworks.
  • Fluent knowledge of and experience with Microsoft cloud services and technical expertise of the Microsoft platform.
  • Proven working experience on technical sales and technical account management. Project management skills.
  • Oversight experience on major transformation projects and successful transitions to implementation support teams
  • Experience on software development and extending solutions in the cloud.
  • Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication
  • Knowledge of competing platforms and solutions.

Recommended domain knowledge areas

  • Deep technical skill on business application platform, technical components of Azure Data & AI platform, and significant experience in the relevant practice area and technology focus.
  • Orchestration of application development lifecycle.
  • Experience in vertical industries, proven by projects/solutions implemented with substantial business processes covering Financial and Insurance, Manufacturing, Consumer Goods, Healthcare/Life Sciences, Retail, or other business to consumer industry scenarios.
  • Demonstrable architecture, design, implementation, and/or support of complex application architectures.

Extensive experience of collaborating with virtual teams across functions and geographies:

  • Inclusive and collaborative – driving teamwork and cross-team alignment.
  • Strong partner relationship management and solution development skills.
  • Proven track record of building deep sales relationships with CXOs and practice building executives in ISV, MSP, CD and SIs.
  • Problem solving mentality leveraging internal and/or external resources, conflict resolution, and follow through with partners.

Education

  • Bachelors Degree in Computer Science, Information Technology, or related field experience required, Masters Degree strongly preferred
  • Certifications in domain-specific technologies required.
  • Be Azure Data & AI certified (for example, Azure Data Engineer Associate), or have an industry equivalent certification.

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