Drive sales opportunities and manage the pipeline through RFPs, proposals, and networking activities. Build and maintain strong relationships with current clients to identify new growth opportunities and ensure satisfaction.
Muttdata
8 Remote Job Openings at Muttdata
Define reference data architecture, standards, and patterns for ingestion and storage on AWS. Design and implement dbt models and Airflow pipelines while collaborating with stakeholders to align technical decisions.
Design dimensional data models and build scalable, high-performance data pipelines to support BI and analytics requirements. Develop data models for internal dashboards and client-facing analytics while ensuring code quality through CI/CD and documentation.
Own and maintain HubSpot to ensure data accuracy and optimize operational workflows. Build dashboards and reports to improve alignment between Marketing and Sales and drive revenue impact.
Design and maintain an enterprise-grade Agentic AI Developer Platform to standardize the creation of AI agents across the organization. Manage the platform lifecycle, including deployment automation, monitoring, and the integration of orchestration tools and cloud services.
Design and scale agent-based AI systems and automation workflows for a major banking institution. Lead the end-to-end process of connector requests, from requirement gathering and security homologation to production enablement.
The Data Engineer Lead will co-develop batch and streaming pipelines while defining data contracts and quality rules. They are also responsible for mentoring domain engineers and guiding teams on data modeling and product ownership.
The role involves co-developing batch and streaming data pipelines on Databricks while defining data contracts and quality rules. Additionally, the engineer will mentor domain teams on data modeling and best practices to improve platform templates and tooling.
