Chief Data Architect and Engineering Specialist

12 hours ago

Bhopal, Madhya Pradesh, India beBeeDataEngineer Full time US$ 1,00,000 - US$ 1,40,000
Senior Data Architect and Engineer

This role involves designing, implementing, and managing large-scale data architectures.

  • Lead the design of enterprise-grade Microsoft Data Platform solutions including Azure Synapse Analytics, Azure Data Lake, Azure SQL, Cosmos DB, Azure Data Factory, Azure Stream Analytics, Azure ML, and Microsoft Purview.
  • Architect hybrid architectures involving other platforms such as Snowflake, Databricks, BigQuery, and AWS Redshift.
  • Develop proposals, SoWs, and RFP/RFI responses with competitive positioning.
  • Conduct solution demos, PoCs, and technical workshops.

Key Responsibilities:

  1. Transition signed deals into successful delivery engagements.
  2. Define reusable frameworks, reference architectures, and accelerators for Microsoft and multi-platform data solutions.
  3. Provide technical leadership during design and early delivery phases.

Customer Engagement:

  • Act as a trusted advisor to CxO and senior stakeholders on data modernization, AI adoption, and governance strategies.
  • Lead consulting engagements to assess current-state data maturity and define modernization roadmaps.
  • Collaborate with partner ecosystems (Microsoft, Snowflake, Databricks, Google Cloud, etc.) to deliver joint value propositions.

Practice Development:

  • Build and scale a Data & AI practice within the Cloud BU, including hiring, training, and capability building.
  • Develop industry-specific AI solutions leveraging Microsoft AI & GenAI services and partner platforms.
  • Stay ahead of emerging trends in data engineering, analytics, AI, and governance.

Required Skills and Experience:

  • Strong expertise in Microsoft Data Platform & AI including Azure Synapse Analytics, Azure Data Lake, Azure SQL, Cosmos DB, Azure Data Factory, Azure Stream Analytics, Azure ML, and Microsoft Purview.
  • Experience integrating with or working on other data platforms: Snowflake, SAAL, AI, Databricks, BigQuery, and AWS Redshift.
  • Hands-on delivery background in enterprise data platform and AI implementations.

Benefits:

  • Opportunity to lead cutting-edge data & AI transformation projects for strategic customers.
  • Work with Microsoft and leading data platform partners.
  • Shape the future of our Data & AI practice.

Education:

  • Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related field.
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