Cloud Data Architect

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Cloud
Data Architect
Apple Cloud
HDFS
Spark
Scala
Apache

Job Details

Note: Need consultants with strong experience working on HDFS and Apple Cloud.

Job Description:

We are looking for a highly experienced Cloud Data Architect to lead the design, migration, and implementation of modern data solutions on Apple Cloud infrastructure.

This role will focus on migrating large-scale data systems from HDFS to Apple Cloud, leveraging technologies such as Apache Spark, Apache Flink, Scala, and SQL.

Familiarity with Apple s ecosystem or prior experience working with Apple is a strong plus.

Key Responsibilities:

Lead the end-to-end migration of data systems from HDFS to Apple 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 Apple 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 Apple 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 Apple internal platforms, tools, or infrastructure.

Understanding of Apple Cloud services, APIs, and deployment best practices.Familiarity with Apple 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 orchestration tools.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.