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Tata Consultancy Services

Cloud Data Platform Architect

Tata Consultancy Services, Sunnyvale, California, United States, 94087

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Tata Consultancy Services Get AI-powered advice on this job and more exclusive features. 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

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