
Acceldata is a pioneer and leader in enterprise data observability, offering an AI-powered Agentic Data Management platform that unifies data quality, governance, and cataloging. Their platform,…

Acceldata is a pioneer and leader in enterprise data observability, offering an AI-powered Agentic Data Management platform that unifies data quality, governance, and cataloging. Their platform,…
What they do: Data Observability Cloud and Autonomous Data & AI platform for monitoring, quality, and pipeline reliability
Founded: 2018
Headquarters region: San Jose / Campbell, California area
Select customers: Oracle, PhonePe, PubMatic, GE Digital, Pratt & Whitney, DBS Bank
Total funding (reported): Over $100M (including $50M Series C and $10M extension)
Data observability and reliability for large-scale, distributed data systems and embedded analytics/AI workloads.
2018
IT Services and IT Consulting
8.5M
35M
50M
10M
“Mix of institutional venture firms (March Capital, Insight Partners, Sorenson Ventures, Lightspeed) and strategic/other investors (Industry Ventures, Sanabil Investments, Prosperity7 Ventures); angel participation reported”
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Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. A day in the life of a Principal Frontend Engineer Architect and build a scalable frontend platform using React and TypeScript for a Kubernetes-native data product. Design Intuitive UIs For
Define Frontend Patterns For
Collaborate With Backend Teams To Integrate With
Build high-performance, data-intensive dashboards with efficient rendering and virtualization.
Establish a lean, extensible frontend architecture suitable for an early-stage product (avoid over-engineering).
Define API contracts, data-fetching strategies, and error-handling standards for distributed systems.
Optimize frontend performance (lazy loading, code splitting, caching, minimizing re-renders).
Implement frontend observability (error tracking, performance monitoring) for production systems
Mentor engineers and establish frontend best practices, coding standards, and design guidelines You are a great fit for the role, if you have 12-15 years of experience in building modern, scalable frontends using frameworks such as Angular, React or Typescript. Strong experience in frontend architecture & system design (modular design, state management, API layers).
Proven experience building data-intensive UIs (dashboards, large tables, logs, analytics tools).
Expertise in JavaScript / TypeScript, HTML, CSS, Material UI, Vue.JS. Develop and integrate backend services using Node.JS Write unit and integration tests using Jasmine and Karma to ensure code quality.
Strong performance optimization skills (rendering, virtualization, lazy loading, re-render control).
Solid experience with API integration & async data handling (pagination, retries, error states).
Experience handling real-time / near real-time data in frontend applications.
Strong code quality practices (clean code, code reviews, testing).
Work efficiently with development tools such as VS Code and Cursor .
Good to have Working knowledge of Kubernetes (pods, deployments, logs, metrics)
Basic understanding of Apache Spark (jobs, stages, execution lifecycle)
We care for our team
Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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