Chief Enterprise Data Solutions Architect

2 days ago

Ajmer, Rajasthan, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Key Responsibilities:

We are seeking a highly skilled professional with 6–8 years of experience in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP). The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration.

  • 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, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
  • Collaborate with stakeholders to understand data needs and translate them into scalable architectures.
  • Design 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 other platforms to GCP.
  • Stay updated with GCP services and industry best practices to recommend improvements.
  • Provide technical leadership and mentoring to data engineering teams.

Required Skills and Qualifications:

  • Educational Background: Bachelor's degree in Computer Science or 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, including 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.
  • GCP Professional Data Engineer / Cloud Architect certification is a plus.

Traits we are looking for:

  • Curiosity-driven and passionate about exploring new tools, technologies, and methods to solve problems creatively.
  • Problem-Solver who thrives on identifying and fixing complex issues.
  • Self-starter who takes initiative and demonstrates ownership of tasks from start to finish.
  • Innovative Mindset who enjoys experimenting with different approaches and is not afraid to break things to learn.
  • Continuous Learner who actively seeks to expand their knowledge through reading, online courses, and experimenting with side projects.
  • Adaptability who is quick to adjust to new technologies, tools, or changes in requirements.
  • Detail-Oriented who pays attention to both the big picture and the 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, Looker, or Dataplex.
  • Knowledge of other cloud platforms for hybrid/multi-cloud strategies.

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