Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, build, and optimize enterprise-scale data platforms and ETL/ELT pipelines on Azure Databricks. Implement Medallion/Lakehouse architectures, integrate streaming and batch sources, tune Spark jobs and clusters, create CI/CD for deployments, enforce governance/security, troubleshoot production issues, and mentor junior engineers.

Design and lead implementation of enterprise-scale Azure and Databricks data platforms, including lakehouse, data mesh, streaming and batch pipelines. Drive security, governance, performance, cost optimization, mentor teams, and support client engagements and proposals.

Lead go-to-market and revenue for the Cogentiq Invoice-to-Cash product: drive new business, manage full sales lifecycle, design commercial models, collaborate cross-functionally, and secure enterprise deals while supporting onboarding and growth.

Design, build, and maintain scalable data pipelines on GCP; migrate data from Teradata to BigQuery; write optimized SQL and Python ETL/ELT; implement monitoring, testing, validation, and reconciliation; document processes and collaborate with analysts, architects, and stakeholders.

Lead delivery and growth for Fortune 50 hi-tech accounts, driving multi‑million AI and GenAI programs. Manage global cross‑functional teams, executive relationships, account economics, proposals, and expand long‑term partnerships while ensuring delivery quality and client satisfaction.

The Cloud Platform Engineer will design and implement cloud infrastructure, automate deployments using Terraform and Argo, develop serverless applications, and collaborate with teams to maintain robust cloud services.