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Reltio

B2B data platform with velocity packs

Advanced Customer Engineer

Backend EngineeringPosted on Nov 9
Full-time$154k - $262kIn-person

About the Job

Requirements

  • A Bachelor of Science degree in computer science or equivalent experience is required.
  • At least 5 years of experience developing large-scale enterprise systems is required.
  • Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis is required.
  • Experience with web user-interface development using JavaScript frameworks is required.
  • Experience debugging server-side Java applications, including troubleshooting logs, thread dumps, and connectivity issues, is required.
  • Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology is required.
  • Experience with NoSQL databases, preferably Cassandra, and distributed indexes is required.
  • Understanding of performance and profiling techniques for complex systems is required.
  • At least 2 years of experience developing Master Data Management (MDM) software with several full life-cycle implementations in Reltio Cloud is required.
  • At least 2 years of experience designing and implementing end-to-end, on-premise and cloud MDM solutions in Reltio Cloud is required.
  • At least 2 years of experience with enterprise-focused applications, including data management, analytics, and big data platforms and technologies with MDM, AWS, GCP, Azure, and Reltio Cloud, is required.
  • At least 2 years of experience configuring and validating the Comparator, Match tokens, Match & Merge setup, and survivorship rules in MDM on Reltio Cloud is required.
  • At least 2 years of experience using version control software, including Bitbucket, VSS, and SVN, to store and promote code is required.
  • Excellent analytical and troubleshooting skills are required.

Responsibilities

  • Build highly scalable and reliable platform services and components that form the foundation of the core Reltio Platform architecture.
  • Develop and implement algorithms and techniques to solve complex problems in high-volume, high-availability environments.
  • Take complete ownership of Reltio Platform features, components, and integrations.
  • Build and implement scalable and accurate monitoring and metrics platforms.
  • Analyze user needs and software requirements to determine design feasibility within time and cost constraints.
  • Provide technical support assistance to achieve high customer satisfaction.
  • Identify opportunities for continuous improvements to Reltio cloud-based platforms, including AWS, GCP, and Azure.
  • Develop ways to optimize and streamline the Reltio Platform layer to facilitate seamless customer implementation.
  • Devise enhancements and monitor platform performance, stability, and consistency to support decision-making in product development and delivery.
  • Resolve customer technical issues through research, reproduction, user-interface, API, and performance debugging, and troubleshooting.
  • Identify and apply pragmatic technological approaches to build sustainable solutions and address critical customer-facing obstacles.
  • Develop alternate solutions and use independent judgment to establish methods, techniques, and evaluation criteria that promptly resolve issues.
  • Support enterprise-focused applications, especially data management, analytics, and big data platforms and technologies, including Hadoop, Spark, and MapReduce.
  • Plan, design, and build effective solutions to support a rapidly growing business at scale.
  • Learn and maintain up-to-date knowledge of product functionality, dependencies, underlying architecture, and operational impact.
  • Research and develop solutions for customer support cases using product knowledge, version control software, and troubleshooting techniques.
  • Create documentation to support understanding of MDM, NoSQL, data structures, service architecture, and system design.
  • Collaborate with support, product management, and core engineering team members to design systems and understand project limitations, capabilities, performance requirements, and interfaces.
  • Represent Reltio in customer meetings as an engineering expert, explaining customer issues and impacts.
  • Provide input on product- and service-related enhancement requests to Engineering, Product Management, Sales, and Marketing teams.
  • Share and develop best practices with team members to improve customer support quality and efficiency, and contribute to the knowledge base.
  • Support, enhance, and fix solutions that support a rapidly growing business at scale.

Desired Qualifications

  • Experience with big data technologies such as Hadoop, MapReduce, and Spark is preferred.
  • A Master of Science degree in computer science or equivalent experience is preferred.

About the Company

Reltio

B2B data platform with velocity packs

Reltio provides a data management platform for businesses to organize and harmonize large data sets. It uses velocity packs—prebuilt components and industry-specific data models—that can be customized to fit a company’s needs, enabling data cleansing and interoperability to deliver business value within 90 days. The product targets B2B customers across technology, finance, healthcare, and retail, and is complemented by a network of service partners (systems integrators, technology vendors, data providers, consultants) that help implement the platform. Unlike some competitors that require building data models from scratch, Reltio emphasizes rapid deployment with ready-to-use packs and an ecosystem of partners to accelerate implementation. The company's goal is to help organizations manage data efficiently and gain a competitive advantage by turning complex data into actionable insights quickly.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$237M
Headquarters
Palo Alto, CA
Founded
2011

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