Acceldata

www.acceldata.io

4 Jobs

277 Employees

About the Company

Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives.

Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the Agentic Data Management platform.

Acceldata's solutions have been embraced by global enterprises such as Nestle, Dun & Bradstreet, Hershey, Pubmatic, HCSC, PhonePe (Walmart), TPG Telecom (Australia), Jenius Bank, Merkle, Pubmatic, and many more.

Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures.

Listed Jobs

Company Name: Acceldata
Job Title: Senior Software Engineer - Open Source Data Platform
Job Description: Senior Software Engineer - Open Source Data Platform Role Summary: Lead development and scaling of open-source data platforms, design distributed systems, mentor junior engineers, and collaborate on enterprise-grade data infrastructure solutions. Expactations: Minimum 7 years in distributed systems or data platform development. Proven experience in open-source contributions, mentoring, and technical leadership for large-scale data systems. Key Responsibilities: - Lead design, development, and implementation of open-source data platform features. - Architect scalable solutions for high-performance, reliable data infrastructure. - Mentor junior engineers and foster collaborative teamwork. - Drive technical strategy and technology evaluation for open-source projects. - Conduct code reviews ensuring quality and maintainability. - Develop solutions across bare metal, VM, and Kubernetes environments. Required Skills: - Linux proficiency for automation and troubleshooting. - Experience with Kubernetes, Docker, cloud environments. - Thread management and debugging skills (deadlocks, memory leaks). - JVM garbage collection tuning expertise. - Advanced Java/Scala/Python; Maven/Gradle/SBT build tools. - Git/Nexus mastery for open-source workflows. - Deep understanding of distributed systems, databases, and architectural patterns. - Track record in delivering complex system enhancements and bug fixes. - Mentoring experience with junior engineers. - Big data stack expertise (Hadoop, Spark, Kafka). - Strong English communication for cross-functional collaboration. Required Education & Certifications: Relevant Bachelor's/Master's degree in Computer Science or equivalent.

Company Name: Acceldata
Job Title: Senior Software Engineer - Open Data Platform (ODP) | Kitchener, Canada
Job Description: **Job Title:** Senior Software Engineer - Open Data Platform **Role Summary:** Design, develop, and scale components of a cloud-native Open Data Platform (ODP), integrating distributed systems and open-source technologies for enterprise-grade data observability. Focus on high-performance, reliable solutions across hybrid and cloud environments. **Expectations:** 7+ years of experience in distributed systems or data platform development. **Key Responsibilities:** - Architect and implement complex features for a scalable Open Data Platform. - Mentor junior engineers and foster continuous learning. - Drive technical strategies and best practices for platform development. - Conduct rigorous code reviews and ensure adherence to standards. - Collaborate with open-source communities and internal teams to solve large-scale data infrastructure challenges. - Work in diverse environments (Bare Metal, VM, Kubernetes) to optimize performance. **Required Skills:** - Advanced proficiency in Linux for automation and troubleshooting. - Expertise in Kubernetes, Docker, and cloud environments. - Strong debugging skills for thread management (deadlocks, memory leaks) and garbage collection tuning. - Extensive experience with Java, Scala, or Python, and build tools (Maven, Gradle, SBT). - GitHub/Nexus management for version control and dependency management. - Deep understanding of software engineering principles, databases, virtualization, and architectural patterns. - Demonstrated ability to resolve complex bugs and deliver new features in production systems. - Experience with big data ecosystems (Hadoop, Spark, Kafka, etc.). - Effective communication for collaboration across teams and leadership. **Required Education & Certifications:** - None specified.

Company Name: Acceldata
Job Title: Software Engineer - Open Source Data Platform (Kitchener, Canada)
Job Description: Job title: Software Engineer – Open Source Data Platform Role Summary: Design, build, and scale components of Acceldata’s Open Data Platform (ODP) using open‑source technologies. Collaborate with cross‑functional teams to deliver high‑quality, scalable data infrastructure that operates across bare metals, VMs, and Kubernetes clusters. Expectations: - Minimum 3 years of experience in distributed systems or large‑scale data platform development. - Strong Linux proficiency, proven ability to operate in diverse environments (bare metal, VM, Kubernetes). - Adept at writing, reviewing, and testing clean, efficient code in Java, Python, or Scala. - Communicate effectively in English and contribute to architectural discussions. Key Responsibilities: - Design, develop, and maintain core ODP services, ensuring performance, reliability, and scalability. - Define feature requirements and collaborate with product, data, and infrastructure teams. - Execute thorough code reviews, enforce coding standards, and mentor junior developers. - Debug, troubleshoot, and resolve system‑level issues, maintaining optimal uptime. - Participate in continuous learning and stay current with evolving big‑data and open‑source trends. - Deploy and manage builds via Maven, Gradle, or SBT; integrate with GitHub and Nexus repositories. Required Skills: - Proficient in Linux administration and command‑line tooling. - Experienced in Java or Scala, with strong Python programming capabilities. - Hands‑on with Maven/Gradle/SBT build systems. - Familiarity with Docker, Kubernetes, and cloud deployment models (AWS, GCP, Azure). - Knowledge of distributed computing fundamentals: threading, process management, database interactions, virtualization. - Version control expertise (Git), repository and package management (Nexus). - Excellent debugging, problem‑solving and system optimisation skills. - Effective communication with technical and non‑technical stakeholders. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience). (Additional preferred skills such as contributions to Apache or other open‑source projects and big‑data stack experience are valued.)

Company Name: Acceldata
Job Title: Technical Account Manager - Acceldata Data Observability Cloud (ADOC)
Job Description: Job Title Technical Account Manager – Acceldata Data Observability Cloud (ADOC) Role Summary Serve as a trusted technical advisor and architect for strategic enterprise accounts, aligning customer business priorities with Acceldata’s data observability solutions to drive long‑term technical success, value realization, and account expansion. Expactations • Own technical success and value for assigned key accounts over multi‑quarter horizons • Collaborate with Strategic Account Managers, Product, Engineering, and Support to translate business needs into scalable, cloud‑native technical plans • Deliver measurable business impact through architecture, adoption, and operational excellence Key Responsibilities • Lead high‑impact customer technical projects: reference architectures, how‑to guides, demo apps, and production‑grade MVPs • Provide post‑sale technical leadership: architecture design, implementation guidance, and adoption support across complex environments • Facilitate data transformation initiatives—migrations, installations, deployments—within Kubernetes, cloud platforms, and data workflows • Enable end‑to‑end solutions focused on scalability, performance, security, and cloud‑native best practices • Conduct on‑site deep technical engagements and maintain regular business & technical reviews • Monitor technical health, usage adoption, and mitigate risks proactively • Author and manage Joint Success Plans/Contracts for 3–4 quarter periods • Capture and communicate product gaps, feature requests, and user feedback to Product and Engineering Required Skills • Enterprise data platform & distributed systems expertise (data and control plane architectures) • Hands‑on with Apache Spark, Kafka, other open‑source big‑data technologies; Kubernetes & containerized workloads • Deep knowledge of data pipelines, metadata management, observability, lineage, and governance • Experience with data governance/quality/catalog tools (Informatica, Collibra, Alation, Atlan, etc.) • Proficiency in AWS, Azure, or GCP environments; familiarity with cloud data platforms such as Databricks, Snowflake is a plus • Strong consultative mindset; ability to translate business outcomes into technical architectures • Executive‑level communication and stakeholder management • Proven multi‑customer engagement management and ability to influence product roadmap Required Education & Certifications • 12+ years enterprise data management or data platform experience • Prior Solution Architect role in data platform or data management company strongly preferred • Experience with global SI or consulting firm, managing multiple customer engagements desired • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred • Relevant certifications in data engineering/architecture (e.g., AWS Certified Big Data, Databricks Certified Professional, etc.) are an advantage.

London, United kingdom

Hybrid

Senior

10-03-2026