# Senior Engineering Manager - Enzyme

**Company**: Databricks
**Location**: Mountain View, California
**Experience**: senior
**Job type**: full-time
**Salary**: $228,600-$317,233 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8109902002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c0921527-223

## Description

We are the Lakeflow Engineering team at Databricks, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion.

We are seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.

The main responsibilities include:

- Leading an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform.

- Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team.

- Building processes to implement product vision and strategy, according to organisational goals and priorities.

- Building software that is not just high quality but easy to operate.

Requirements:

- Minimum 3 years of experience in managing top-tier engineering teams.

- 5+ years experience building data infrastructure systems such as Apache Spark or database internals.

- A passion for database systems, storage systems, distributed systems, or performance optimisation.

- Experience working with product management, and directly with customers; ability to understand customer needs.

- Ensuring the team builds high quality and reliable infrastructure services.

- Experience being responsible for testing, quality, and Service Level Agreements of a product.

- Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.

- Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards.

- Experience up-leveling teams via hiring top-notch talent and growing existing team members.

Pay Range Transparency: The pay range for this role is $228,600-$317,233 USD.

Benefits: Comprehensive benefits and perks that meet the needs of all employees.

## Skills

### Required
- Apache Spark
- database internals
- data infrastructure systems
- distributed systems
- performance optimisation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8109902002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)