Enterprise Data Solution Architect

16 hours ago

Kottayam, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,15,00,000
Job Title: Enterprise Data Solution Architect

We are seeking an experienced professional to design, develop and manage enterprise data solutions on Google Cloud Platform (GCP).

Main Responsibilities:

  • Design end-to-end data solutions on GCP, aligning with business and technical requirements.
  • Create 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 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 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.

Required Skills and Qualifications:

  • Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer and 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 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.

Traits we are looking for:

  • Critical thinking: Passionate about solving complex problems creatively.
  • Problem-Solver: Thrives on identifying and fixing issues, with a natural inclination for troubleshooting.
  • Self-motivated: Takes initiative, requires minimal supervision and demonstrates ownership of tasks.
  • Innovative Mindset: Enjoys experimenting with different approaches and is not afraid to take calculated risks.
  • 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.
  • Attention to Detail: Pays attention to both the big picture and small details, ensuring quality in execution.

Good To Have:

  • Exposure to AI/ML workflows and data preparation for ML models.
  • Experience with third-party tools like Apache Airflow or Dataplex.
  • Knowledge of other cloud platforms for hybrid/multi-cloud strategies.

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