Google Cloud Platform Data Architect

Overview

Full Time
100% Travel

Skills

JAVA
Python
Spark
Kafka
Hadoop
BigQuery
Dataflow
Airflow
CloudSQL

Job Details

Hi,

We have an urgent requirement below, if you are interested, please respond to me with your updated resume.

Job Title: Google Cloud Platform Technical Data Architect

Location: Tampa, FL/Irving, TX (day-One Onsite)

Job Type: Fulltime

Interview: Three rounds of Video interview

Job Description:

Required Skills:

Minimum 3+ years in Data Architecture and 5+ years hands-on with Google Cloud Platform (Google Cloud Platform).

Deep experience with core Google Cloud Platform services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Airflow, Spanner, Bigtable, Cloud SQL, Dataproc, and Cloud Composer.

Proficiency in building and managing streaming data pipelines using Apache Kafka, Google Cloud Dataflow, and serverless technologies.

Strong programming skills in Python, Java, and SQL.

Experience with containerization and orchestration tools like Docker and Kubernetes on Google Cloud Platform.

Familiarity with infrastructure automation tools such as Terraform and Google Cloud Deployment Manager.

Expertise in data modeling, ETL/ELT pipelines, data migration, and data warehousing concepts.

Knowledge of big data frameworks like Hadoop and Spark is a plus.

Experience with embedded analytics platforms (e.g., Tableau Embedded, Power BI Embedded) and ML frameworks (e.g., TensorFlow, PyTorch) is desirable.

Application Architecture:

Strong understanding of microservices architecture, API management, and cloud-native application design.

Soft Skills:

Excellent analytical and problem-solving abilities.

Strong communication skills with the ability to engage and manage stakeholders effectively.

Ability to work in a fast-paced environment and juggle multiple priorities.

Proven leadership in guiding technical teams and managing client relationships.

Education & Certification:

Bachelor's degree in Computer Science, Information Technology, or related fields.

Google Professional Cloud Architect certification is required.

Preferred Experience:

7+ years in solution architecture or related data roles.

Familiarity with data governance, security best practices, and compliance standards.

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.

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