Enterprise Data Solutions Specialist
3 weeks ago
Moveworks is the ultimate AI copilot for search and automation across all business applications. We simplify employee access to information and support while optimizing costs for our clients. Our cutting-edge data platform, fueled by industry-leading reasoners, translates user queries into actionable plans. This technology seamlessly integrates into diverse systems, transforming natural language into powerful automations.
We're proud to count among our clients pioneering companies like Databricks, Broadcom, Hearst, and Palo Alto Networks, who rely on Moveworks to streamline support processes, deliver real-time insights, and empower employees to work smarter across applications. With over 500 team members spread across six global offices, we're backed by influential investors and consistently ranked among the most innovative teams globally.
This key role involves shaping, developing, and maintaining the next-generation Moveworks Data Platform. As a Data Architect and Engineer, you'll design and implement highly scalable, reliable, and secure data platforms, processing pipelines, and services that underpin our groundbreaking NLP and Conversational AI capabilities with enterprise-grade data governance, security, and privacy standards. Core responsibilities encompass crafting high-performance batch and stream data processing infrastructure, defining foundational data models, and closely collaborating with machine learning and data science teams.
The successful candidate will boast 5+ years of experience as a software engineer, expertise in cloud infrastructure like AWS/GCP/Azure, and proficiency in languages such as Python, Golang, Java, or C++. A BS or higher in Computer Science or a related field is essential. Estimated compensation range: $200,000 - $249,000.
We offer a competitive salary, comprehensive benefits package, equity for all full-time staff, and variable compensation structures. Final offers are influenced by factors including job requirements, candidate experience, and company needs.
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