Engineering Manager - Query Optimization

March 20

🏢 In-office - Bay Area

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Databricks

Databricks is the lakehouse company$1. .$1

Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science

1001 - 5000

💰 $1.6G Series H on 2021-08

Description

• 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

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)

Benefits

• Total compensation package may include eligibility for annual performance bonus • Equity • Benefits listed above

Apply Now
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