About the job
Key Responsibilities
- Design and implement enterprise-grade data architectures leveraging GCP services.
- Define and govern end-to-end data strategy, architecture standards, and best practices.
- Architect scalable data lakes, data warehouses, lakehouse solutions, and real-time data platforms.
- Lead cloud data transformation and migration initiatives from on-premises and multi-cloud environments to GCP.
- Design batch and streaming data pipelines using GCP-native technologies.
- Collaborate with business stakeholders, data engineers, analysts, and application teams to understand requirements and translate them into scalable solutions.
- Establish data governance, metadata management, master data management (MDM), and data quality frameworks.
- Ensure compliance with security, privacy, and regulatory requirements.
- Optimize platform performance, scalability, reliability, and cost efficiency.
- Mentor technical teams and provide architectural guidance across multiple projects.
- Conduct architecture reviews and recommend improvements aligned with business objectives.
Required Skills:
- 9-13 years of IT experience with significant experience in Data Architecture.
- Strong hands-on expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and related GCP services.
- Experience with data modeling, ETL/ELT, data warehousing, and lakehouse architectures.
- Proficiency in SQL and Python/Java/Scala.
- Knowledge of data governance, data quality, and cloud security frameworks.
Preferred:
- GCP Professional Data Engineer certification.
- Experience with Spark, Kafka, Airflow, Terraform, and AI/ML data platforms.
Note: We are currently seeking candidates who can join within 15 Days