Full-Time

Engineering Manager

Query Optimization

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
AI & Machine Learning

Compensation Overview

$192k - $260kAnnually

+ Annual Performance Bonus + Equity

Senior

Mountain View, CA, USA

Category
Engineering Management
Software Development Management
Required Skills
Product Management
Requirements
  • 5+ years experience working in a related system with an emphasis on query optimization and database internals
  • A passion for database systems, storage systems, distributed systems, language design, query optimization and performance
  • Can ensure the team builds high quality and reliable infrastructure services; experience being responsible for testing, quality, and SLAs of a product; previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals
  • Ability to attract, hire, and coach engineers who meet the Databricks hiring standards; can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members; can gain trust of team and guide their careers; experience managing distributed teams preferred
  • Comfort working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas
  • BS in Computer Science (Masters or PhD Preferred)
Responsibilities
  • Leading a talented engineering team in Query Optimization
  • Overseeing sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders
  • Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities
  • Lead development for the query optimizer, a core part of Databricks Data Intelligence Platform
  • Define, shape, and drive the future of Databricks Data Intelligence Platform
  • Grow a world-class team of software engineers working query optimization; hire top-notch staff+ level talent
  • Ensure consistent delivery against milestones and strong alignment with the field working 'two-in-a-box' with product leadership
  • Evolve organizational structure to align with long term initiatives, build strong '5 ingredient' teams with good comms architecture
  • Manage technical debt, including long term technical architecture decisions, and balance product roadmap

Databricks provides a platform that combines data lakes and data warehouses into a single architecture known as lakehouse. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a variety of users, including data engineers, data scientists, and business analysts, across industries like finance, healthcare, and technology. The platform features automated ETL processes, secure data sharing, and high-performance analytics, and it also supports machine learning and AI workloads for building and deploying models. Databricks operates on a subscription-based model, generating revenue through client subscriptions and professional services. The company's goal is to streamline data management and analytics, making it easier for organizations to leverage their data effectively.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

26%

2 year growth

78%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave