GCP Data Architect
Pune, Maharashtra, India · Full Time
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- Experience
- 12–15 yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Individuals with any graduate degree are eligible to apply.
- Resume
- Required to apply
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Job description
About Tata Consultancy Services
Tata Consultancy Services (TCS) is a renowned global organization offering IT services, consulting, and business solutions. As a major entity of the Tata Group, TCS excels in digital transformation, innovation, engineering precision, and exceptional customer service across 46 countries worldwide.
Job Summary
We are seeking a seasoned GCP Data Architect with 12 to 15 years of experience to conceptualize and deploy scalable, secure, and efficient data platforms on the Google Cloud Platform. The ideal candidate will have profound expertise in cloud data architecture, data engineering, data modeling, data lakes and warehouses, and extensive experience in large-scale data processing environments.
Key Responsibilities
- Develop comprehensive data architecture solutions on GCP.
- Establish blueprints for data ingestion, processing, storage, integration, and analytical workflows.
- Implement enterprise-grade systems utilizing BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Design both batch and real-time streaming data pipelines.
- Create modern cloud-based data lake, data warehouse, and analytics frameworks.
- Establish suitable data models and integration techniques.
- Lead migration projects transitioning legacy or on-premises data infrastructures to GCP.
- Define and enforce standards for data security, governance, quality, and access control.
- Enhance performance and cost-efficiency of BigQuery and other processing solutions.
- Offer expert technical guidance to Data Engineers and related development teams.
- Collaborate effectively with business stakeholders, analysts, engineers, security, and cloud teams to convert requirements into architectural designs.
- Conduct architectural assessments, prepare solution documentation, and participate in critical design decisions.
Must-Have Skills
- Proficient with Google Cloud Platform (GCP) services.
- Strong experience with BigQuery for data analytics.
- Hands-on expertise in Dataflow for data processing.
- Familiarity with Cloud Storage (GCS) solutions.
- Knowledgeable in Pub/Sub messaging service.
- Experience with Dataproc for managed Spark and Hadoop clusters.
- Solid background in data architecture and data modeling principles.
- Competence in data engineering and ETL/ELT methodologies.
- Advanced SQL querying skills.
- Programming proficiency in Python and PySpark.
- Design and management of data lakes and data warehouse architectures.
Desirable Skills
- Experience with Cloud Composer or Apache Airflow for workflow orchestration.
- Working knowledge of Apache Spark platform.
- Understanding of Kafka for distributed messaging.
- Familiar with dbt data transformation tool.
- Exposure to Looker for data visualization.
- Skills in Terraform for infrastructure as code.
- Knowledge of CI/CD pipelines.
- Expertise in optimizing BigQuery query performance.
- Strong grasp on data governance and security practices.
- Ability to manage migration projects from on-premise systems to GCP.
Minimum education
Bachelor's Degree