
Chief Data Architect
21 hours ago
We are seeking an experienced Data Solutions Architect to join our team. The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration.
Key Responsibilities:
- Design and architect end-to-end data solutions on the cloud, aligning with business and technical requirements.
- Define data models, storage strategies, data ingestion, processing, and consumption frameworks.
- Implement data lakes, data warehouses, and data marts using cloud services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Collaborate with stakeholders to understand data needs and translate them into scalable architectures.
- Design and implement data governance, security, and compliance frameworks for cloud-based data platforms.
- Optimize data workflows, query performance, and storage costs in the cloud environment.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on experience in the cloud.
- Strong expertise in cloud 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 in the cloud.
Benefits:
- Competitive salary and benefits package.
- A collaborative and growth-oriented work environment with opportunities for career development.
Preferred Traits:
- Curiosity-driven: Passionate about exploring new tools, technologies, and methods to solve problems creatively.
- Problem-Solver: Thrives on identifying and fixing complex issues, with a natural inclination for troubleshooting.
- Self-starter: Takes initiative, requires minimal supervision, and demonstrates ownership of tasks from start to finish.
Good To Have:
- Exposure to AI/ML workflows, data preparation for ML models.
- Experience with third-party tools like Apache Airflow or Looker.
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