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66degrees

Compare

2.8

based on 21 Reviews

11 66degrees Jobs

Data Architect(GCP)

66degrees

2.8

based on 21 Reviews

4-9 years

Bangalore / Bengaluru

1 vacancy

Data Architect(GCP)

66degrees

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Python Consulting SQL Oracle Cloud Computing Data Architecture

+ 3 more

Job Description

Overview of 66degrees

Overview of Role:

We are seeking an experienced Data Architect to design, develop, and maintain our google cloud data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across google cloud platforms.

Responsibilities:

GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Experience designing cloud architectures on Oracle Cloud is a plus.
Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs.
Big Data Processing: Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop.
Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management.
Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading.
Performance Optimization: Monitor and tune data systems to ensure high performance and availability.
Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance.
Innovation: Stay current with the latest technologies and trends in data architecture and cloud computing.

Qualifications:

GCP Core Services: In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer.
Data Modeling: Expertise in data modeling techniques and best practices.
Big Data Technologies: Hands-on experience with Spark and Hadoop.
Cloud Architecture: Proven ability to design scalable, reliable, and cost-effective cloud architectures.
Data Governance: Understanding of data quality, security, compliance, and metadata management.
Programming: Proficiency in SQL, Python, and DBT (Data Build Tool).
Problem-Solving: Strong analytical and problem-solving skills.
Communication: Excellent written and verbal communication skills.
A Bachelor s degree in Computer Science, Computer Engineering, Data or related or equivalent work experience required.
GCP Professional Data Engineer or Cloud Architect certification is a plus.