
Enterprise Cloud Data Strategist
2 days ago
We are seeking a highly skilled Cloud Data Architect with 6–8 years of experience in designing, developing, and managing enterprise data solutions.
- Design end-to-end data solutions, aligning with business and technical requirements.
- Define data models, storage strategies, data ingestion, processing, and consumption frameworks.
- Implement data lakes, warehouses, and marts using BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Collaborate with stakeholders to understand data needs and translate them into scalable architectures.
- Design governance, security, and compliance frameworks for cloud-based data platforms.
- Optimize data workflows, query performance, and storage costs.
- Lead data migration and modernization initiatives from on-premise or other cloud platforms.
- Stay updated with GCP services and industry best practices.
- Provide technical leadership and mentoring to data engineering teams.
- 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.
- Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog.
- Proficient in data modeling, 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.
Traits We Are Looking For:
- Curiosity-driven: Passionate about exploring new tools and technologies.
- Problem-Solver: Thrives on identifying and fixing complex issues.
- Self-starter: Takes initiative, requires minimal supervision, and demonstrates ownership of tasks.
- Innovative Mindset: Enjoys experimenting with different approaches and is not afraid to break things to learn.
- Continuous Learner: Actively seeks to expand knowledge through reading, online courses, and side projects.
- Adaptability: Quick to adjust to new technologies, tools, or changes in requirements.
- Detail-Oriented: Pays attention to both the big picture and small details.
Good To Have:
- Exposure to AI/ML workflows, data preparation for ML models.
- Experience with third-party tools like Apache Airflow, Looker, or Dataplex.
- Knowledge of other cloud platforms (AWS, Azure) for hybrid/multi-cloud strategies.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge security challenges.
- A collaborative and growth-oriented work environment.
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