Chief Data Architect

1 day ago

Belgaum, Karnataka, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,50,00,000

Job Overview

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We are seeking a highly skilled Data Architect to join our team. The ideal candidate will have 6–8 years of experience in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP).

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Main Responsibilities:

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  • Design and architect end-to-end data solutions on GCP.
  • 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 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.
  • Provide technical leadership and mentoring to data engineering teams.
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Required Skills and Qualifications:

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  • 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, 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 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.
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Benefits:

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  • Competitive salary and benefits package.
  • A collaborative and growth-oriented work environment with opportunities for career development.
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Key Traits:

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  • 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.
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Good To Have:

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

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