Customer Support Engineer, Tier 2 at Starburst

Boston, Massachusetts, United States

Starburst Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Data Analytics, AIIndustries

Requirements

  • Background in deploying and debugging complex systems
  • Background in distributed systems, Hadoop, cloud technologies, security, DBMSs, and navigating a complex Java codebase (beneficial)
  • Strong communication skills
  • Ability to function in a fast-paced dynamic environment
  • Curiosity to learn and explore various approaches and solutions
  • Desire and ability to learn and work cross-functionally in a customer-success-oriented company
  • Big Data (Hadoop, Data Lakes, Spark)
  • Docker and Kubernetes
  • Cloud technologies (AWS, Azure, GCP)
  • Security: Authentication (LDAP, OAuth2.0), Authorization technologies, SSL/TLS
  • Linux Skills
  • DBMS Concepts/SQL Exposure
  • Languages: SQL, Java, Python, Bash
  • Ability to travel occasionally for onboarding, offsites, customer engagements, and company events

Responsibilities

  • Respond to and resolve Galaxy & SEP customer inquiries via chat, email, or call session, within specified SLA windows
  • Contribute to customer-facing self-serve knowledge base
  • Collaborate with pre and post-sales teams to ensure cross-functional alignment and customer satisfaction
  • Enthusiastically participate in ongoing personal learning including active participation in team training and development
  • Escalate and manage escalated issues with Engineering to ensure good outcomes for customers
  • Support SEP (Starburst Enterprise Platform) and Galaxy customers on break/fix and technical inquiries including configuration, security, integration, and cluster issues
  • Act as a liaison to ensure customers receive appropriate and timely service

Skills

Trino
Java
Hadoop
Distributed Systems
Cloud Technologies
Security
DBMS
SEP
Galaxy
Customer Support

Starburst

Data analytics and SQL engine distribution

About Starburst

Starburst specializes in data analytics by providing a distribution and support for the Trino SQL engine, which is designed for efficient and scalable analytics on data lakes and various data sources. Their products, Starburst Galaxy and Starburst Enterprise, allow clients to access and analyze data quickly, whether in the cloud or on-premises. Starburst connects seamlessly with popular data visualization tools like Tableau, Power BI, and Looker, making it easier for users to integrate and access their data. What sets Starburst apart from competitors is its enhancement of the open-source Trino engine with additional connectors, security features, and dedicated enterprise support. The company's goal is to help organizations achieve faster data insights and better decision-making through improved analytics capabilities.

Boston, MassachusettsHeadquarters
2017Year Founded
$402.7MTotal Funding
SERIES_DCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

Competitive salary & attractive stock grants
Remote-friendly work options
Quality & affordable insurance
Flexible & generous paid time off
Environment of transparency, honesty & respect

Risks

Increased competition from companies like Dell could impact Starburst's market share.
The rapid growth of unique data vendors may lead to increased market complexity.
Enterprises moving towards single-cloud strategies could challenge Starburst's multi-cloud offerings.

Differentiation

Starburst offers both cloud-based and on-premises solutions, catering to diverse client needs.
The company enhances the open-source Trino engine with additional connectors and security features.
Starburst's platform integrates with popular data tools like Tableau, Power BI, and Looker.

Upsides

Starburst Galaxy achieved 3x year-over-year growth in active customers and usage volume.
The platform enables 10X faster data processing and 66% cost reduction for clients like Arity.
Starburst's Icehouse platform leverages open-source Trino and Apache Iceberg for scalability.

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