Lead the technical vision and strategy for the Data Engineering Center of Excellence across cloud platforms (GCP, Azure, AWS), cloud-agnostic platforms (Databricks, Snowflake), and legacy systems. This leadership role will establish architectural standards and best practices while providing pre-sales leadership for strategic opportunities. Key Responsibilities Define and drive the technical vision and roadmap for the Data Engineering CoE Establish cross-cloud architecture standards and best practices with emphasis on Azure, GCP and AWS Lead pre-sales activities for strategic opportunities, particularly AWS, Azure, GCP-focused clients Build the CoEs accelerator development framework Mentor and guide pillar architects across all platforms Drive platform selection decisions and integration strategies Establish partnerships with key technology providers, especially Cloud Define governance models for the CoE implementation Represent the organization as a technical thought leader in client engagements
12+ years of data engineering experience with 6+ years in leadership roles Deep expertise in Google Cloud Platform data services (BigQuery, Dataflow, Dataproc) Strong knowledge of other cloud platforms (Azure Fabric/Synpase, Data Factory ,
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full time