Lead large-scale enterprise data transformation programs at Qualcomm, managing multi-year initiatives across data modernization, cloud migration, and analytics platforms. Coordinate work across distributed data engineering, architecture, governance, security, and analytics teams while managing multi-million-dollar budgets and vendor relationships.… Drive adoption of modern data architectures (data lakehouse, data mesh, medallion patterns) and cloud platforms (Databricks, AWS, Azure, GCP), and establish federated data governance frameworks. Influence executives and technical stakeholders to deliver measurable business outcomes while handling legacy system retirement and enterprise data integration from CRM, ERP, HCM, and supply-chain systems.
semantic-layers jobs in San Diego
RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.… This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.
Principal Engineer leading the technical direction for ServiceNow's Conversational Analytics platform, which enables customers to query data in natural language using AI. The role combines hands-on architecture and prototyping with mentorship of engineering teams, requiring deep expertise in AI/ML systems, vector retrieval, agentic architectures, and knowledge graphs.… You'll collaborate with product and leadership to design cloud-based solutions integrating LLMs and AI into enterprise workflows, with accountability for customer success metrics and evaluation frameworks.