Lead the GCP pillar within the Data Engineering CoE, establishing technical standards, best practices, and reusable accelerators for Google Cloud Platform data implementations. This role is critical for supporting high-value client engagements including Verizon and other GCP-focused opportunities in our pipeline. Key Responsibilities Develop architecture patterns and implementation accelerators for GCP data platforms Establish best practices for BigQuery, Dataflow, Dataproc, and other GCP data services Support pre-sales activities for GCP-based opportunities, with particular focus on Verizon Design migration pathways from legacy systems to GCP Create technical documentation and playbooks for GCP implementations Mentor junior team members on GCP best practices Work with cloud-agnostic platforms (Databricks, Snowflake) in GCP environments Build deep expertise in enterprise-scale GCP deployments Collaborate with other pillar architects on cross-platform solutions Represent the companys GCP capabilities in client engagements
Qualifications 10+ years of data engineering experience with minimum 5+ years focused on GCP Deep expertise in BigQuery, Dataflow, Dataproc, and Cloud Storage Experience implementing enterprise-scale data lakes on GCP Strong know
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full time