Data Management Architect

Job Description:

Key Responsibilities:

• Leading technical discussions with clients to understand their business requirements and recommend appropriate cloud-based solutions.
• Creating technical specifications and architecture documents for GCP-based solutions.
• Designing and implementing cloud solutions using GCP services.
• Advising clients on best practices for cloud architecture, security, and governance.
• Troubleshooting and resolving issues with cloud-based solutions.
• Collaborating with cross-functional teams, including sales, product, engineering, and support, to ensure successful project delivery.
• Staying up to date with the latest developments in cloud technologies and GCP services.

Qualifications and Certifications:

• Education:
  • Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
• Experience:
  • Minimum 10 years of experience in designing and implementing cloud-based solutions using GCP.
  • Experience in architecting and designing solutions in one or more of the following areas: Infrastructure Modernization, Data Management and Analytics, Application Modernization, or DevOps.
  • Strong understanding of cloud architecture, including compute, networking, storage, security, and automation.
  • Proven experience designing and implementing data workflows using GCP services like BigQuery, Dataform, Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Experience with cloud automation tool such as Terraform.
  • Excellent communication skills and the ability to work effectively with clients and cross-functional teams.
• Certifications:
  • Google Cloud Professional Data Engineer certification preferred.

Key Skills:

• Mandatory Skills:
  • Advanced proficiency in Python for data pipelines and automation.
  • Strong SQL skills for querying, transforming, and analyzing large datasets.
  • Strong hands-on experience with GCP services, including Cloud Storage, Dataflow, Cloud Pub/Sub, Cloud SQL, BigQuery, Dataform, Compute Engine, Kubernetes Engine (GKE),
  • Hands-on experience with CI/CD tools such as Jenkins, Github or Bitbucket.
  • Proficiency in Terraform, Ansible, or Google Cloud Deployment Manager for infrastructure automation.
  • Experience in using Docker and Kubernetes for containerization and orchestration.
  • Familiarity with workflow orchestration tools like Apache Airflow or Cloud Composer
  • Strong understanding of Agile/Scrum methodologies
• Nice-to-Have Skills:
  • Experience with other cloud platforms like AWS or Azure.
  • Knowledge of data visualization tools (e.g., Power BI, Looker, Tableau).
  • Understanding of machine learning workflows and their integration with data pipelines.

Soft Skills:

• Strong problem-solving and critical-thinking abilities.
• Excellent communication skills to collaborate with technical and non-technical stakeholders.
• Proactive attitude towards innovation and learning.

Ability to work independently and as part of a collaborative team.

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