SMC Digital Native, Startups, ISV (DS&I) Digital Technology Specialist - Azure, French speaking markets

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Responsibilities (Text Only)

- Proactively own technical discussions with Startups & ISVs leveraging processes and tools, demos, and programs using consultative sales methodology and technical expertise to influence the Startup/ISV vision; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.
- Proactively build technical strategy: map the agreed Startup/ISV vision into a strategy, resolve concerns, preventing and removing technical blockers and validating a strong business case for investment and translated technology complexity into business impact.
- Work with Startup & ISVs, account team, and partners to orchestrate a roadmap for implementation guiding the customer to choose the best Microsoft Intelligent Data and Analytics platform and win the AI Design, inclusive of Microsoft AI, Application services, and Databases.
- Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a Startup/ISV technical decision and meet their needs; drive POCs/Pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.
- Support the creation of new pipeline in collaboration with the Specialist and account team by identifying new opportunities within customer engagement and hand off to the Digital Native AE for pursuit.
- Be the Trusted advisor and use proactive effort to find and understand the Startup/ISV's pain points and work with partners to design and offer solutions (with business case) to technical leaders by being a Microsoft Intelligent Data and Analytics platform evangelist inclusive of new Data and Analytics projects, modernizing legacy Data Warehouse to the cloud, new Modern Data Warehousing deployments, real-time analytics, and end to end Data, Analytics and AI solutions.
- Be the Voice of Customer to share insights and best practices with Engineering, to remove key blockers and drive product improvements.
- Maintain and grow expertise in Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.

Qualifications (Text Only)

- Demonstrated technical pre-sales or technical consulting experienceOR bachelor's degree in computer science, Information Technology, or related field AND technical pre-sales or technical consulting experienceOR master's degree in computer science, Information Technology
- Experience with cloud and hybrid, or on premises database infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- Cross organizational and functional collaboration skills to drive the optimal solution for the customer needs
- Demonstratable experience with cloud and hybrid, or on premises database infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- Proof of Concepts: Experience creating Database, Analytics, and AI Proof of Concepts (PoC)/Pilots for customers that lead to production deployments.
- Fluent French and English required

Additional / Preferred Qualifications
- Experience with Digital Natives, Startups, and ISVs
- Certification in relevant technologies or disciplines
- Azure Certifications: Azure Administrator Associate (AZ-104), Designing Microsoft Azure Infrastructure Solutions (AZ-305), Azure Data Engineer Associate (DP 203) or or Azure AI Engineer Associate (AI-102) or Enterprise Data Analyst Associate (DP 600) or Azure Cosmos DB Developer Specialty (DP 420) or Fabric Analytics Engineering Associate (DP- 600).
- Deep domain knowledge in Databases, Analytics, and AI:
- Knowledge of Database platforms such as AWS, GCP, Mongo DB, and Oracle.
- Knowledge of Intelligent Data and Analytics platforms such as Snowflake, Databricks, AWS (Redshift), GCP Big query, Teradata, Netezza, Exadata, Apache Spark, Tableau, Qlik, Looker, etc. including financial performance, key messaging, and roadmap. Knowledge of AI platforms (AWS, Google, IBM, and Oracle) Certifications: Google Cloud Professional ML Engineer, AWS Certified Machine Learning, or IBM certified Data Science professional.
- Understands Database Platforms: Microsoft Azure SQL Database, Cosmos DB, PostgreSQL, MongoDB, Oracle, MySQL, Redis, Elasticsearch, IBM Db2, Snowflake, Cassandra DB, Maria DB, etc.
- Understands Analytics Platforms: Fabric, Azure Databricks, Snowflake, real-time analytics, Power BI) OR hands-on experience working with the respective products at the expert level. 3+ years of hands-on programming experience (Scala, Python, SQL etc.)

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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