Live opening · Posted 8 hours ago
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Description supplied by the original job listing.
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
Work arrangement
No
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