Top Tech Jobs & Startup Jobs

Design, build, and maintain API-based integrations and data pipelines connecting systems and CDPs. Implement identity resolution and secure handling of hashed identifiers, ensure data quality and reliability, troubleshoot integration issues, and collaborate with engineering, data, and business teams to deliver scalable solutions.

Lead design and implement standardized ETL pipelines and data models to consolidate data from 80+ ERP systems into Microsoft Fabric. Perform gap analysis, build data quality/validation frameworks, mentor engineers, run pilot implementations, document lineage and transformations, and troubleshoot integration issues to ensure AI-ready data architecture.

Lead design and implementation of standardized ETL pipelines to unify data from 80+ ERP systems into Microsoft Fabric. Perform gap analysis, data mapping, quality frameworks, and data modeling. Pilot, optimize, and document integrations; troubleshoot inconsistencies; mentor engineers and collaborate with stakeholders for governance and AI-ready architectures.

Lead design and implementation of standardized ETL pipelines, data transformations, and data quality frameworks to consolidate data from 80+ ERP systems into Microsoft Fabric. Perform gap analysis, data mapping, pilot implementations, troubleshooting, and documentation. Mentor engineers and collaborate with stakeholders to ensure AI-ready, performant data models and repeatable integration patterns.

Manage execution of marketing campaigns across multiple products: project-manage campaigns from development to launch, coordinate cross-functional teams and vendors, ensure creative aligns with brand/legal guidelines, route for approvals, maintain asset library and playbook, perform audits, and provide status updates to ensure timely, high-quality delivery.

Lead enterprise data integration: map gaps across 80+ ERP systems; design and build standardized ETL pipelines into Microsoft Fabric; create data quality frameworks and AI-ready data models; lead pilot implementations; mentor engineers; document lineage and transformation logic; troubleshoot and optimize pipelines for scalability and performance.

Lead end-to-end UX and product design for AI-enabled digital products. Conduct discovery, user flows, high-fidelity prototypes, and deliver dev-ready assets. Collaborate with product, data science, and engineering; apply user-centered and accessible design; evolve design systems; and participate in client-facing sessions to advocate for users.

Build and own the platform observability layer: design Grafana dashboards, instrument metrics (including LLM signals), connect Azure Monitor/OpenTelemetry, set up alerting, and coach the team. Contribute to CI/CD, deployment tooling, and cloud infrastructure as needed.

Design, build, and maintain automation solutions and scripts to streamline data workflows. Write, optimize, and troubleshoot complex SQL queries and database objects. Collaborate with stakeholders to implement and document scalable automation processes, monitor and enhance reliability, and identify opportunities for efficiency improvements.

Validate AI-generated test scenarios and manually verify outcomes against historical job packages. Identify false positives/negatives, document defects and feedback, re-test fixes, and collaborate with engineers to improve AI-assisted testing and overall product quality.