
Chief Data Systems Architect
3 days ago
Job Description:
We seek a seasoned Cloud Data Engineer with 6–8 years of experience in designing, developing, and managing large-scale data solutions on Google Cloud Platform.
Key Responsibilities:
- Design and architect cloud-based data systems to meet business and technical requirements.
- Develop data models, storage strategies, data ingestion, processing, and consumption frameworks.
- Implement data lakes, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Collaborate with stakeholders, data scientists, and engineering teams to translate data needs into scalable architectures.
- Develop data governance, security, and compliance frameworks for cloud-based data platforms.
- Optimize data workflows, query performance, and storage costs in the GCP environment.
- Lead migration and modernization initiatives from on-premise or other cloud platforms to GCP.
- Stay updated with GCP services, features, and industry best practices.
Required Skills and Qualifications:
The ideal candidate will have:
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- At least 3 years hands-on experience with GCP.
- Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog.
- Proficient in data modeling, data warehousing concepts, ETL/ELT pipelines, and big data processing frameworks.
- Experience with SQL, Python, and Terraform for infrastructure as code.
- Hands-on experience in data security, encryption, access control, and governance on GCP.
- Experience in integrating with real-time data pipelines and event-driven architectures.
- Strong understanding of DevOps, CI/CD pipelines for data workflows, and cloud cost optimization.
Benefits:
Competitive salary and benefits package.
Opportunity to work on cutting-edge projects.
Collaborative and growth-oriented work environment.
Professional development opportunities.
Others:
Curiosity-driven: Passionate about exploring new tools and technologies.
Problem-Solver: Thrives on identifying and fixing complex issues.
Self-starter: Takes initiative and demonstrates ownership of tasks.
Innovative Mindset: Enjoys experimenting with different approaches.
Continuous Learner: Actively seeks to expand knowledge through reading, online courses, and side projects.
Adaptability: Quick to adjust to new technologies and changes in requirements.
Detail-Oriented: Pays attention to both the big picture and small details.
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