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Chief Data Strategist

2 weeks ago


Thiruvananthapuram, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead Enterprise Data Architect

We are seeking a highly skilled Data Governance Manager to lead our team in designing, developing, and managing enterprise data solutions on Google Cloud Platform.

About the Role:

  • Design end-to-end data solutions on GCP aligning with business and technical requirements.
  • Define data models, storage strategies, data ingestion, processing, and consumption frameworks.
  • Implement data lakes, warehouses, and 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.
  • Design and implement data governance, security, and compliance frameworks for cloud-based platforms.
  • Optimize data workflows, query performance, and storage costs on GCP.
  • Lead migration and modernization initiatives from other platforms to GCP.
  • Stay updated with GCP services and industry best practices.
  • Provide technical leadership and mentoring to data engineering teams.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 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 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.

Traits we Value:

  • Curiosity-driven.
  • Problem-Solver.
  • Self-starter.
  • Innovative Mindset.
  • Continuous Learner.
  • Adaptability.
  • Detail-Oriented.

Good To Have:

  • Exposure to AI/ML workflows, data preparation for ML models.
  • Experience with third-party tools like Apache Airflow, Looker, or Dataplex.