JOB DESCRIPTION 

Responsibilities

Value Proposition & Cloud Adoption

• Articulate value propositions for key Microsoft products and services.
• Demonstrate expertise to accelerate Microsoft Cloud adoption.
• Drive innovation with a focus on industry solutions and customer outcomes.

Solution Development & Risk Mitigation

• Ensure solutions align with architectural goals for clear development and operational guidance.
• Identify and mitigate business and technical risks.
• Provide support during deployment to prevent or resolve technical issues.

Customer & Stakeholder Engagement

• Collaborate with customer teams, including C-level executives, to align vision with solutions.
• Offer technical guidance in the pre-sales process.

Innovation

• Work closely with other Microsoft teams to create offerings and best practices aligned with strategic direction.
• Lead the development and implementation of innovative solutions.
• Identify and incubate new business opportunities through technology-driven initiatives and partnerships.

Thought Leadership

• Lead discussions and share insights on emerging technologies within Microsoft and at industry events.
• Represent the organization at conferences, panels, and webinars to establish thought leadership.
• Contribute to whitepapers, blogs, and publications to drive the technology agenda.

Technical Delivery

• Lead customer/partner meetings to identify business needs and develop solutions.
• Participate in project planning and collaborate with subject matter experts.
• Provide leadership on work streams to implement solutions.
• Manage complex escalations and coordinate resources to resolve issues.
• Proactively manage executive-level customer, partner, and stakeholder relationships.

Areas of Expertise & Technical Skills

Data Engineering & Architecture

• 20+ years of experience in Data Engineering and Enterprise Data Architecture.
• Expertise in Azure Data Services, Machine Learning, and Platform Modernization.
• 10+ years designing Data Warehouse solutions (Azure Synapse Analytics, Snowflake, Teradata).
• Strong experience with large-scale database solutions (on-premises, cloud, hybrid).
• Proficiency in Serverless Architecture & Microservices.
• Deep knowledge of full application lifecycle design tools & methodologies.

Technology Stack Expertise

Big Data Stack:

• Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight, HBase, Oozie.

Database Stack:

• OLTP/OLAP, data storage mechanisms & architectures
• Columnar: RedShift, Vertica
• Open-source DBs: MySQL, PostgreSQL, MariaDB
• NoSQL: CosmosDB (MongoDB, Redis, Cassandra), Key-value stores, Graph databases, RDF triple stores
• Advanced expertise in database engine debugging (CXPACKET analysis, Disk throttling, IO/Network contentions, performance optimization).

Data Engineering & Analytics

• Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time Series Data.
• Azure Stream Analytics, Azure Analysis Services.
• Expertise in at least two or more relational DBMS: Microsoft SQL, Azure Synapse, Oracle, Teradata, Netezza.
• Strong ETL & Data Migration experience: ADF, SSIS, Talend, Pentaho, Informatica.
• Multi-tenant database design and data platform security hardening.
• Implementation of Data Governance practices (open-source or proprietary tools).
• Expertise in DataOps methodologies.

AI, Machine Learning & DevOps

• Expertise in Azure ML, Open AI, and MLOps.
• Strong experience in Agile Methodology, Azure DevOps.
• Advocating and setting best practices in engineering, automation, and coding standards.

Industry Experience

• Experience in one or more industries:
  • Automotive, Energy, Travel & Transportation, Financial Services, Government, Health, Manufacturing, Media & Communications, Retail/Supply Chain.

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