GCP Data Architect Bengaluru

66degrees

Bengaluru

On-site

INR 4,000,000 - 6,000,000

Full time

46 hours ago
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Job summary

66degrees is seeking an experienced Data Architect to design, develop, and maintain our Google Cloud data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across Google Cloud platforms.

The role requires expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Storage, DataProc, Run, Composer) and data modeling, with strong SQL, Python, and DBT skills.

Qualifications

  • Bachelor's degree in CS, CE, Data or related field or equivalent work experience required.
  • GCP Core Services including BigQuery, Dataflow, Pub/Sub, Storage, DataProc, Run, Composer; Oracle Cloud exposure is a plus.
  • Experience with Spark and Hadoop for big data processing; data governance concepts; strong data modeling.
  • Proficiency in SQL, Python, and DBT; ability to design scalable cloud architectures and ensure data quality and security.

Responsibilities

  • Design, implement, and manage cloud-based data architectures on Google Cloud Platform.
  • Develop and maintain data models to support business needs.
  • Build and optimize data pipelines for ingestion, transformation, and loading.
  • Establish and enforce data governance policies including data quality, security, and metadata management.
  • Collaborate with data engineers and data scientists to gather requirements and provide architectural guidance.
  • Stay current with latest data/cloud tech trends and continually improve architectures.

Skills

GCP core services
Data modeling
Big data technologies
Cloud architecture
Data governance
SQL
Python
DBT
problem solving
communication

Education

Bachelor's degree in Computer Science/Engineering or related field
GCP Professional Data Engineer or Cloud Architect certification (a plus)

Tools

SQL
Python
DBT

Job description

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

We are seeking an experienced Data Architect to design, develop, and maintain our google cloud data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across google cloud platforms.

Responsibilities
  • GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Experience designing cloud architectures on Oracle Cloud is a plus.
  • Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs.
  • Big Data Processing: Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop.
  • Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management.
  • Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading.
  • Performance Optimization: Monitor and tune data systems to ensure high performance and availability.
  • Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance.
  • Innovation: Stay current with the latest technologies and trends in data architecture and cloud computing.
Qualifications
  • GCP Core Services: In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer.
  • Data Modeling: Expertise in data modeling techniques and best practices.
  • Big Data Technologies: Hands-on experience with Spark and Hadoop.
  • Cloud Architecture: Proven ability to design scalable, reliable, and cost-effective cloud architectures.
  • Data Governance: Understanding of data quality, security, compliance, and metadata management.
  • Programming: Proficiency in SQL, Python, and DBT (Data Build Tool).
  • Problem-Solving: Strong analytical and problem-solving skills.
  • Communication: Excellent written and verbal communication skills.
  • A Bachelor's degree in Computer Science, Computer Engineering, Data or related or equivalent work experience required.
  • GCP Professional Data Engineer or Cloud Architect certification is a plus.
  • A Bachelor's degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

Please note, we cannot sponsor or transfer any visas, of any kind, at this time.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

AI Transparency & Disclosure

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools- Including LinkedIn Recruiter's Hiring Assistant and interview transcription technologies to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.

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