Job Description
Must Have Technical/Functional Skills
- Google Cloud Platform (Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage)
- Enterprise Data Architecture & Data Modeling
- Data Platform, Data Lake & Data Warehouse Architecture
- Data Governance, Data Quality & Metadata Management
- Python, SQL, Apache Spark
- ETL/ELT Pipeline Design & Optimization
- Infrastructure as Code (Terraform)
- CI/CD, Git, Agile/Scrum
- Performance Tuning, Security & Cost Optimization
- Excellent communication and stakeholder management
Roles & Responsibilities
- Design scalable, secure, and high-performing GCP data architectures.
- Architect enterprise Data Platform, Data Lake, and Analytics solutions.
- Develop and optimize batch and streaming data pipelines.
- Define data governance, quality, lineage, and metadata standards.
- Lead architecture reviews and establish cloud best practices.
- Partner with business, product, and engineering teams to deliver scalable solutions.
- Optimize Big Query performance, scalability, and cloud cost.
- Ensure compliance with enterprise security and regulatory requirements.
- Mentor engineering teams and provide technical leadership.
- Support cloud migration and modernization initiatives.
Salary Range: $115,000 to $130,000 per year
Qualifications:
BACHELOR OF COMPUTER SCIENCE
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