Job Description

Job Description

A fast-growing organization in the technology and data space is seeking an experienced Cloud Data Architect to lead the design and delivery of cloud-native data infrastructure and architecture initiatives. This position plays a key role in implementing scalable, secure, and high-performing data solutions that support advanced analytics, modeling, and enterprise decision-making.
\nYou’ll be responsible for driving cloud transformation strategy, developing architectural standards, and collaborating across multidisciplinary teams to support business growth and innovation. This is a high-visibility, hands-on leadership opportunity suited for a strategic thinker with strong technical depth and exceptional communication skills. Key Responsibilities

• Lead architecture and design efforts for cloud-based data platforms, including data lakes , data warehouses , and ETL/ELT pipelines
• Build scalable, high-volume data ingestion and processing solutions from a variety of internal and external sources
• Drive the implementation of data governance, data quality controls, and security frameworks across the data lifecycle
• Collaborate with business and technology stakeholders, including product teams, DevOps, BI, and data engineers, to deliver data-driven solutions
• Manage tools and technologies within the cloud ecosystem to support analytics, reporting, and data science needs
• Oversee the design and deployment of data models, data marts, and infrastructure components within a cloud-first strategy
• Support fault-tolerant, high-availability architecture planning and ensure on-call readiness for critical issues\n

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (advanced degrees or certifications a plus)
• Experience architecting real-time data streaming solutions and working with big data technologies such as Hadoop, Spark, Kafka, NoSQL, Redis, etc.
• Hands-on experience with Azure Data & Analytics services , including:
  • Azure Data Factory
  • Azure Data Lake
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Cosmos DB (preferred)
  • Azure Stream Analytics
  • Azure SQL DB
• Familiarity with Microsoft Fabric and Purview is a strong plus
• Proficiency in Power BI and Power BI embedding for visualization and reporting
• Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code tools such as Terraform
• Proven experience scaling and integrating both open-source and enterprise technologies
• Agile development experience with modern data engineering workflows
• Demonstrated success delivering cloud-based data warehouse solutions from design through production\n

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