
GCP Data Architect
3 weeks ago
Job Title : GCP Data & Analytics Architect
Location : Bengaluru, Chennai
Job Summary :
We are seeking a highly skilled and experienced GCP Data & Analytics Architect to design and lead the development of scalable, secure, and high-performance data solutions on Google Cloud Platform (GCP).
You will work closely with cross-functional teams to understand business needs and translate them into robust cloud data architecture, enabling advanced analytics, AI/ML, and real-time insights.
Key Responsibilities :
- Design end-to-end data architecture on GCP including ingestion, processing, storage, and consumption layers.
- Develop scalable and secure data pipelines using tools such as Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Dataproc.
- Lead the modernization of legacy data platforms to GCP, including migration strategy and implementation.
- Create data models and design data lakes/warehouses to support BI, ML, and analytics use cases.
- Implement data governance, security, access controls, and data quality frameworks.
- Collaborate with Data Engineers, Analysts, and Data Scientists to meet business requirements.
- Provide architectural guidance and best practices for data lifecycle management, data cataloging, and metadata management.
- Evaluate and recommend GCP services and third-party tools based on project needs.
- Mentor junior engineers and review technical designs/code for quality assurance.
- Work in Agile/Scrum teams and manage multiple projects simultaneously.
Required Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.
- 10 -15 + years of experience in data engineering or data architecture roles, with 3+ years specifically on GCP.
- Deep expertise in GCP services : BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc, Cloud Composer, GKE, etc.
- Strong programming skills in Python, SQL, and optionally Java/Scala.
- Experience with orchestration tools (e.g., Airflow/Cloud Composer).
- Solid understanding of data warehousing, ETL/ELT, data lakes, real-time streaming, and batch processing.
- Knowledge of data governance, privacy, compliance (e.g., GDPR, HIPAA), and IAM in GCP.
- Familiarity with BI tools like Looker, Tableau, or Power BI.
- GCP certifications such as Professional Data Engineer or Cloud Architect are a plus.
Preferred Qualifications :
- Experience with AI/ML model deployment pipelines on GCP.
- Exposure to multi-cloud environments and hybrid data strategies.
- Knowledge of DevOps, CI/CD, and Infrastructure as Code (Terraform, Deployment Manager).
- Experience working in regulated environments (e.g., BFSI, Healthcare).
Soft Skills :
- Excellent communication and stakeholder management skills.
- Strong problem-solving and analytical thinking.
- Ability to lead and influence cross-functional teams.
About Ascendion :
Ascendion is a pioneer in digital technology solutions, dedicated to transforming industries through cutting-edge engineering and disruptive technologies.
We are committed to creating a vibrant work environment that fosters innovation, collaboration, and unique growth opportunities.
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