"data sources" Jobs
551 open tech roles matching “data sources”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, AI. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 551 results
Lead a diverse team of technical pre-sales Solutions Architects in Japan to drive growth through collaboration and innovation.
Lead and grow a team of data platform engineers to build scalable data infrastructure for high-velocity experimentation.
Lead the growth of Datadog's developer audience through innovative social media strategies and content creation.
Lead a team of pre-sales Solutions Architects to drive adoption of Databricks' platform in the Retail and CPG sectors.
Lead procurement strategies for critical electrical and mechanical infrastructure in data centers at Anthropic.
Lead business development efforts with VC and PE firms to drive value for portfolio companies and Databricks.
Lead the technical efforts in Generative AI for EMEA Emerging Digital Natives, shaping architectures and mentoring teams.
Lead a regional team of Data & AI experts to ensure the smooth operation of customer production workloads at Databricks.
Lead a team of Solutions Architects in the Manufacturing Segment to drive customer success with Databricks' Data Intelligence Platform.
Lead the backend architecture for a mission-critical air traffic control system in a dynamic and safety-critical environment.
Lead a diverse team of engineers to enhance Datadog's Source Code Integration platform in a hybrid work environment.
Lead the content marketing efforts at TRM Labs to establish authority in crypto crime and financial-crime intelligence.
Lead the technical direction for Generative AI solutions in a fast-paced environment supporting digital-native companies across EMEA.
Lead a team of Specialist Solutions Architects to drive technical sales and enhance customer success with Databricks in the Nordics.
Lead the global alliance with a major technology partner to drive data infrastructure adoption and AI delivery.