Manager, Engineering - Client Integrations at Starburst

San Francisco, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Analytics, AI, Data LakehouseIndustries

Requirements

At least 3 years of engineering management experience
Good understanding of the Data Engineering space
Strong track record of successfully building teams and the culture necessary to create competitive advantage for previous companies
Personal passion to see the same applied to this industry

Responsibilities

Lead and grow a team of passionate engineers, providing support and guidance that enables the team to self-organize and achieve sustained high velocity and predictability
Manage and motivate a team of software engineers focused on various aspects of the Starburst Galaxy and Starburst Enterprise products
Demonstrate authentic enthusiasm for the Engineering space by proactively performing exploratory testing of the functionality of various integrations built by the Engineering Team, taking a hands-on approach and sharing constructive feedback to drive continuous improvement
Drive technical direction and provide leadership and transparency in an agile environment
Partner with other engineering leaders to find the best solution to a wide array of problems, define best practices, and build cutting-edge software
Work closely with leaders from other departments including Product, Marketing and Analytics to iterate on design and architecture
Coach and mentor engineers of all levels, from junior engineers to technical leads
Recruit, interview, hire and onboard new engineers
Partner with Engineering and Product Leadership to deliver and execute on roadmap deliverables
Support and mentor the dynamic, talented, global, fun team, while emphasizing quality at every stage of the product

Skills

Trino

ODBC

Tableau

Power BI

dbt

Query Engine

Client Drivers

BI Integration

Trino Spooling Protocol

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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