Description

You will design and own end-to-end data architectures on Google Cloud Platform, ensuring scalability, performance, and cost efficiency.

Responsibilities

• Lead technical design discussions with business and functional analysts to resolve ambiguities and assess integration impacts.
• Architect and optimize ETL/ELT pipelines using GCP services including Dataflow, Dataproc, BigQuery, Pub/Sub, and Cloud Composer.
• Design and manage Databricks clusters for advanced analytics and machine learning, optimizing Spark-based workflows for performance.
• Implement frameworks for data quality, lineage, cataloging, and security, enforcing governance policies across data pipelines.
• Create and enforce technical design guides, development templates, and automation scripts for routine operational tasks.

Required Skills

• 5+ years of experience as a Cloud Architect with deep expertise in Google Cloud Platform.
• Hands-on proficiency with Big Data technologies: Spark, Hadoop, Kafka, and Databricks.
• Strong knowledge of GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, and Cloud Composer.
• Proven experience in ETL pipeline design, optimization, and data management principles.
• Ability to define best practices for data governance, metadata management, and compliance.
• Experience with CI/CD pipelines for data solutions and DevOps practices.
• Strong problem-solving, communication, and stakeholder management skills.

Preferred Skills

• Google Cloud Professional Cloud Architect certification.
• Experience with multi-cloud or hybrid architectures.
• Familiarity with data security and compliance standards such as GDPR and HIPAA.

Key Skills

Education

Any Gradute