GCP Architect

As a Senior Data Engineer specializing in GCP and Vertex AI, your role will involve designing, developing, and maintaining scalable data pipelines and ETL workflows. You will be responsible for building and optimizing data solutions using Google Cloud Platform services, working closely with data scientists to enable Vertex AI-based ML pipelines, and ensuring data quality, integrity, and governance across systems. Additionally, you will lead architectural decisions for data platforms and pipelines, collaborate with cross-functional teams to translate business needs into data solutions, monitor, troubleshoot, and optimize pipeline performance, mentor team members, facilitate knowledge-sharing sessions, and maintain documentation for data workflows and systems. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and ETL workflows - Build and optimize data solutions using Google Cloud Platform (GCP) services - Work closely with data scientists to enable Vertex AI-based ML pipelines - Ensure data quality, integrity, and governance across systems - Lead architectural decisions for data platforms and pipelines - Collaborate with cross-functional teams to translate business needs into data solutions - Monitor, troubleshoot, and optimize pipeline performance - Mentor team members and facilitate knowledge-sharing sessions - Maintain documentation for data workflows and systems Qualifications Required: - 12+ years of experience in data engineering - Strong hands-on expertise in GCP (Vertex AI, BigQuery) and Python programming - Deep understanding of ETL/ELT processes and data pipeline architecture - Experience with data modeling and database design - Proven ability to lead teams and influence technical decisions - Strong problem-solving and analytical skills Nice to Have: - Experience with real-time/streaming data pipelines (Kafka, Pub/Sub) - Exposure to ML pipelines and MLOps practices - Knowledge of data governance and security best practices - Experience in large-scale enterprise environments About the Client: ARAs Client is a global leader in digital transformation, delivering cutting-edge solutions across cloud, data, and AI. With a strong presence in enterprise data engineering and advanced analytics, the organization empowers businesses to harness data for strategic decision-making and innovation. Why Join Us: - Work on large-scale, cloud-native data platforms - Collaborate with AI/ML and analytics teams on cutting-edge solutions - Opportunity to influence enterprise data strategy - Fast-paced, innovation-driven environment - Strong career growth and leadership opportunities As a Senior Data Engineer specializing in GCP and Vertex AI, your role will involve designing, developing, and maintaining scalable data pipelines and ETL workflows. You will be responsible for building and optimizing data solutions using Google Cloud Platform services, working closely with data scientists to enable Vertex AI-based ML pipelines, and ensuring data quality, integrity, and governance across systems. Additionally, you will lead architectural decisions for data platforms and pipelines, collaborate with cross-functional teams to translate business needs into data solutions, monitor, troubleshoot, and optimize pipeline performance, mentor team members, facilitate knowledge-sharing sessions, and maintain documentation for data workflows and systems. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and ETL workflows - Build and optimize data solutions using Google Cloud Platform (GCP) services - Work closely with data scientists to enable Vertex AI-based ML pipelines - Ensure data quality, integrity, and governance across systems - Lead architectural decisions for data platforms and pipelines - Collaborate with cross-functional teams to translate business needs into data solutions - Monitor, troubleshoot, and optimize pipeline performance - Mentor team members and facilitate knowledge-sharing sessions - Maintain documentation for data workflows and systems Qualifications Required: - 12+ years of experience in data engineering - Strong hands-on expertise in GCP (Vertex AI, BigQuery) and Python programming - Deep understanding of ETL/ELT processes and data pipeline architecture - Experience with data modeling and database design - Proven ability to lead teams and influence technical decisions - Strong problem-solving and analytical skills Nice to Have: - Experience with real-time/streaming data pipelines (Kafka, Pub/Sub) - Exposure to ML pipelines and MLOps practices - Knowledge of data governance and security best practices - Experience in large-scale enterprise environments About the Client: ARAs Client is a global leader in digital transformation, delivering cutting-edge solutions across cloud, data, and AI. With a strong presence in enterprise data engineering and advanced analytics, the organization empowers businesses to harness data for strategic decision-making an