3 months ago
Responsibilities
- Own data architecture for large-scale, high-impact projects while balancing scalability, reliability, performance, maintainability, and cost.
- Design, build, and operate scalable data pipelines and systems that ingest, transform, store, and serve large data volumes.
- Partner with Software Engineering, Data Science, Product Management, and other stakeholders to translate data requirements into technical solutions.
- Define and own data quality, reliability, and SLA/SLO requirements for datasets and systems.
- Design and optimize data models, databases, and complex SQL workloads for performance, storage efficiency, and scalability.
- Build reusable frameworks, tooling, and infrastructure for developing and maintaining data products.
- Identify opportunities to use data to improve products, customer experiences, and business outcomes.
- Promote engineering practices for testing, observability, deployment, and operational excellence in data systems.
- Mentor engineers through technical guidance, design reviews, and feedback.
Requirements
- A bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years of software or data engineering experience building production systems.
- Strong programming experience in one or more of Go, Java, C++, Python, or JavaScript, plus strong SQL skills.
- Strong understanding of data structures, algorithms, and software engineering fundamentals.
- Experience designing and operating production-grade data pipelines or distributed data systems.
- Experience with relational and/or NoSQL databases and their performance and scalability characteristics.
- Ability to independently drive projects from technical design through implementation, deployment, and operation.
- Preferred experience with large-scale data platforms, data warehouses, distributed data systems, cloud data infrastructure, and high-throughput pipelines.
- Preferred experience optimizing complex SQL and data processing workloads and working with Kafka, Spark, Flink, Trino/Presto, BigQuery, Snowflake, or similar technologies.
- Preferred experience with data quality, observability, monitoring, production reliability, testing strategies, and technical mentorship.
- A master’s degree in Computer Science or a related technical field is preferred.
Tech Stack
Categories
Data Engineering
About DevRev
DevRev builds Computer, an AI platform for enterprise search, employee service/help desk, and customer support that connects to a company’s existing tools and data. It sells cloud software and APIs to enterprises on a subscription basis, supporting use cases from knowledge retrieval to automated ticket resolution. Founded in 2020 and headquartered in Palo Alto, the company was started by former Nutanix leaders Dheeraj Pandey and Manoj Agarwal and remains privately held.