
Chief Data Officer
1 week ago
Job Overview:
We are seeking a highly skilled data professional to design, develop, and manage enterprise data solutions on the Google Cloud Platform. The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration.
Key Responsibilities:
- Data Solution Design: Create end-to-end data solutions aligning with business and technical requirements.
- Data Modeling and Storage: Define data models, storage strategies, data ingestion, processing, and consumption frameworks.
- Cloud Data Platforms: Implement data lakes, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Collaboration and Communication: Work with business stakeholders, data scientists, and engineering teams to understand data needs and translate them into scalable architectures.
- Data Governance and Security: Design and implement data governance, security, and compliance frameworks for cloud-based data platforms.
- Optimization and Innovation: Optimize data workflows, query performance, and storage costs in the GCP environment. Stay updated with GCP services, features, and industry best practices to recommend improvements and innovation.
- Leadership and Mentoring: Provide technical leadership and mentoring to data engineering teams.
Required Skills and Qualifications:
- Educational Background: Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Experience: 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on GCP.
- GCP Services Expertise: Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog.
- Data Skills: Proficient in data modeling, data warehousing concepts, ETL/ELT pipelines, and big data processing frameworks.
- Programming Skills: Experience with SQL, Python, and Terraform (preferred) for infrastructure as code.
- Data Security and Governance: Hands-on experience in data security, encryption, access control, and governance on GCP.
- Real-Time Data Integration: Experience in integrating with real-time data pipelines and event-driven architectures.
- DevOps and Cloud Optimization: Strong understanding of DevOps, CI/CD pipelines for data workflows, and cloud cost optimization.
- Certification: GCP Professional Data Engineer / Cloud Architect certification is a plus.
Benefits:
- Competitive Compensation Package.
- Cutting-Edge Security Challenges.
- Collaborative and Growth-Oriented Work Environment with opportunities for career development.
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