Cloud Data Solutions Architect

We are seeking a highly skilled professional with 6–8 years of experience in designing, developing, and managing enterprise data solutions on cloud platforms. The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration, with proven expertise in delivering scalable, secure, and efficient data platforms.

Key Responsibilities:

• Design and architect end-to-end data solutions on cloud platforms, 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 business stakeholders, data scientists, and engineering teams 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.
• Lead data migration and modernization initiatives from on-premise or other cloud platforms to the cloud.
• Stay updated with cloud services, features, and industry best practices to recommend improvements and innovation.
• 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 cloud platforms.
• 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 (preferred) for infrastructure as code.
• Hands-on experience in data security, encryption, access control, and governance on cloud platforms.
• 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.
• Soft Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and within a team in an Agile/Scrum environment.

Traits we are looking for:

• 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.
• Innovative Mindset: Enjoys experimenting with different approaches and is not afraid to break things to learn.
• Continuous Learner: Actively seeks to expand their knowledge through reading, online courses, and experimenting with side projects.
• Adaptability: Quick to adjust to new technologies, tools, or changes in requirements.
• Detail-Oriented: Pays attention to both the big picture and the small details, ensuring quality in execution.

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:

• A competitive salary and benefits package.
• The opportunity to work on cutting-edge security challenges.
• A collaborative and growth-oriented work environment with opportunities for career development.