Cloud Data Platform Architect

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Job Summary
We are looking for a highly experienced Cloud Data Architect to lead the design, migration, and implementation of modern data solutions on Cloud infrastructure. This role will focus on migrating large-scale data systems from HDFS to Cloud, leveraging technologies such as Apache Spark, Apache Flink, Scala, and SQL. Familiarity with ecosystem or prior experience working with a strong plus.

Job Summary
We are looking for a highly experienced Cloud Data Architect to lead the design, migration, and implementation of modern data solutions on Cloud infrastructure. This role will focus on migrating large-scale data systems from HDFS to Cloud, leveraging technologies such as Apache Spark, Apache Flink, Scala, and SQL. Familiarity with ecosystem or prior experience working with a strong plus.
Key Responsibilities

• Lead the end-to-end migration of data systems from HDFS to Cloud, ensuring minimal disruption and maximum scalability.
• Design cloud-native data architectures optimized for both batch and stream processing.
• Build and maintain high-performance, scalable data pipelines using Apache Spark, Apache Flink, Scala, and SQL.
• Work closely with Cloud infrastructure teams or platforms to align solutions with enterprise architecture.
• Develop reusable frameworks and components to accelerate cloud data transformation efforts.
• Define data governance, security, and compliance standards aligned with enterprise policies.
• Troubleshoot performance bottlenecks and optimize data workflows in cloud environments.
• Collaborate with cross-functional teams including data engineers, analysts, DevOps, and product owners.
  

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 7+ years of experience in data engineering, big data architecture, or related roles.
• Proven experience in migrating data systems from HDFS to a cloud platform, preferably Cloud.
• Strong hands-on experience with:
• Apache Spark (batch and structured streaming)
• Apache Flink (real-time stream processing)
• Scala programming
• Advanced SQL for complex data transformations
• Deep understanding of distributed file systems, cloud object storage, and metadata handling.
• Solid knowledge of data security, encryption, and compliance (GDPR, CCPA).
• Experience with CI/CD, automation, and infrastructure-as-code tools (e.g., Terraform, Jenkins).
  

Preferred Qualifications

• Experience working with internal platforms, tools, or infrastructure.
• Understanding of Cloud services, APIs, and deployment best practices.
• Familiarity with ’s security models and compliance requirements.
• Knowledge of Kubernetes, Docker, and orchestration frameworks for big data jobs.
• Exposure to Kafka, Airflow, or similar event streaming and workflow o rchestration tools.
• Understand the needs of various business functions and end users and the priorities of information security and senior management.
  

Salary Range: $80,000-$130,000 a year

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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