Data Engineer
hace 2 semanas
DevRev
DevRev's AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform.
Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.
Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America's Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.
About the Role: Senior Data Engineer
As a
Customer Deployment Architect
, you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects—from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev's AgentOS platform.
This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You'll act as the connective tissue between pre-sales, customer success, engineering, and product teams—bringing our AI capabilities to life for real-world impact.
Qualifications:
- 3+ years of experience in data engineering or related fields.
- Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree or certifications in data management or analytics are preferred.
- Proficiency in SQL, Python, and data warehousing solutions.
- Strong understanding of cloud technologies and data integration patterns.
- Experience with business intelligence tools and data visualization platforms.
- Excellent problem-solving skills and a detail-oriented mindset.
Responsibilities:
- Collaborate with finance and strategy teams to understand data requirements and ensure alignment with business goals.
- Design and implement scalable data pipelines and infrastructure to support financial and operational analytics.
- Ensure data quality, integrity, and security across all platforms.
- Develop and maintain dashboards and reports to provide insights into key performance indicators.
- Work closely with IT and other stakeholders to integrate new data sources and improve existing data architecture.
- Provide technical insights and support for data-driven decision making.
Skills:
- Strong analytical skills with the ability to translate complex business needs into technical solutions.
- Excellent communication skills for cross-functional collaboration.
- Ability to manage multiple projects and meet deadlines effectively.
Culture
The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth's most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.
That is DevRev
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