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Data Architect - GCP

Data Architect - GCP

Pixeldust TechnologiesGhaziabad, IN
30+ days ago
Job description

Role Overview :

We are seeking a highly skilled Data Architect - GCP & Data Governance with 6–8 years of experience in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP) and Data Governance. The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, data integration,and data governance with proven expertise in delivering scalable, secure, and efficient data platforms.

Key Responsibilities :

  • Design and architect end-to-end data solutions on GCP, aligning with business and technical requirements.
  • Hands on experience with Data Governance.
  • 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.

Required Skills and Qualification :

  • 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.
  • Hands-on Data Governance experience.
  • 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.
  • Traits we are looking for :

  • 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.
  • What We Offer :

  • 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.
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