"customer data pipelines" Jobs
1161 open tech roles matching “customer data pipelines”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 1161 results
Join Databricks as a Lakebase Sales Specialist to drive adoption of our fully-managed Postgres offering for intelligent applications.
Own and evolve Kubernetes infrastructure while building secure, compliant AI systems for major financial institutions.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Join Databricks as a Solutions Architect to lead AI and data strategies for customers in CPG and Manufacturing.
Drive Lakebase adoption in Financial Services as a director at Databricks, a leader in data and AI.
Own the technical layer of enterprise sales at Perplexity, focusing on CPQ, scoring, and data orchestration.
Join Stuut as a Member of the Technical Staff to design and deploy AI-powered systems for financial operations.
Join Culture Amp as a Marketing Operations Analyst to enhance data integrity and attribution in a growth-focused marketing team.
Join Databricks as a Sr. Solutions Engineer to design scalable data architectures and engage with customers to drive technology discussions.
Join TRM Labs as a Senior Data Platform Engineer to enhance AI-powered intelligence solutions in a high-compliance government cloud environment.
Own the product strategy for Snorkel's Agentic Data and RL Environments as a founding AI Data Product Manager.
Join Sierra as a GTM Engineer to implement AI-powered systems and enhance customer experiences in a collaborative environment.
Join TRM Labs as a Data Engineer to enhance government cloud investigations with AI-powered data solutions.
Lead the Partner Sales & Pre-sales Enablement initiatives at Databricks to enhance partner capabilities and drive growth.
Lead the Data & Strategy team at Cartesia to enhance AI model capabilities through data sourcing and operational rigor.
Design and operate large-scale multilingual data pipelines while advancing the efficiency of language models in a fast-moving team.