
Enterprise Data Solutions Expert
2 days ago
We are seeking a highly skilled Enterprise Data Architect Specialist with 6–8 years of experience in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP). As an integral member of our team, you will be responsible for creating end-to-end data solutions that align with business and technical requirements. This role is ideal for a visionary who can define data models, storage strategies, data ingestion, processing, and consumption frameworks.
- Create scalable architectures that meet the needs of our organization and stakeholders.
- Implement data lakes, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Collaborate with cross-functional teams to understand data needs and translate them into actionable plans.
- 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 data migration and modernization initiatives from other platforms to GCP.
Requirements:
- Bachelor's degree in Computer Science or related field.
- 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on 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.
Key Traits We Value:
- Curiosity-driven mindset: Passionate about exploring new tools and technologies.
- Problem-solving skills: Thrives on identifying and fixing complex issues.
- Self-motivation: Takes initiative and demonstrates ownership of tasks.
- Innovative thinking: Enjoys experimenting with different approaches.
- Continuous learning: Actively seeks to expand knowledge through reading and online courses.
- Adaptability: Quick to adjust to new technologies and changes in requirements.
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