
Chief Data Solutions Architect
7 hours ago
At the heart of our organization lies a complex web of data solutions, and we are seeking a visionary Enterprise Data Architect Leader to design, develop, and manage these systems on Google Cloud Platform (GCP). This is an exceptional opportunity for a highly skilled professional with 6–8 years of experience in enterprise data architecture and engineering roles.
- Key Responsibilities:
- Develop end-to-end data architectures on GCP, 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 services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Collaborate with stakeholders, data scientists, and engineers 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 GCP environment.
- Lead data migration and modernization initiatives from on-premise or other cloud platforms to GCP.
- Stay updated with GCP services, features, and industry best practices to recommend improvements and innovation.
- Provide technical leadership and mentoring to data engineering teams.
For this role, we seek professionals with the following background and expertise:
- 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 experience 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 (preferred) 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.
- GCP Professional Data Engineer / Cloud Architect certification is a plus.
We provide a competitive salary and benefits package, along with opportunities for career development in a collaborative and growth-oriented work environment. Our team members have the chance to work on cutting-edge security challenges and contribute to shaping the future of enterprise data solutions on GCP.
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