Data Solutions Architect

4 days ago

Nellore, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Overview:

We are seeking an experienced professional to fill a pivotal role in designing and managing enterprise data solutions on the Google Cloud Platform (GCP).

Main Responsibilities:

  • Designing end-to-end data architectures on GCP that meet business and technical requirements.
  • Developing data models, storage strategies, data ingestion, processing, and consumption frameworks.
  • Implementing data lakes, warehouses, and marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
  • Collaborating with stakeholders, data scientists, and engineering teams to understand data needs and translate them into scalable architectures.
  • Creating data governance, security, and compliance frameworks for cloud-based data platforms.
  • Optimizing data workflows, query performance, and storage costs within the GCP environment.
  • Leading data migration and modernization initiatives from on-premise or other cloud platforms to GCP.
  • Staying updated with GCP services, features, and industry best practices to recommend improvements and innovation.
  • Providing technical leadership and mentoring to data engineering teams.

Required Skills and Qualifications:

  • Educational Background: 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.
  • Soft Skills:
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and within a team in an Agile/Scrum environment.

Benefits and Opportunities:

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge security challenges.
  • A collaborative and growth-oriented work environment with opportunities for career development.

Desirable Traits:

  • 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.

Good To Have:

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

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