Senior Staff Software Engineer - App and Partner Ecosystem
Databricksover 1 year ago
Base Salary
$220k - $297k/yr
Responsibilities
- Define and drive Databricks' application and partner ecosystem strategy.
- Develop frameworks, APIs, and tools that enable partners and developers to build, integrate, and scale applications.
- Enable customers to integrate applications and specialized functionality into the Databricks ecosystem.
- Lead and mentor engineers across teams through technical guidance, architectural direction, and career development support.
- Collaborate with product, engineering, and business development teams to align technical roadmaps with strategic goals.
- Engage with open-source communities and advocate for application development, data processing, and ecosystem best practices.
- Represent Databricks at industry events and conferences while engaging with partners, customers, and developers.
Requirements
- 10+ years of experience building data-intensive applications or systems.
- Strong expertise in database systems, including SQL, NoSQL, OLAP, and OLTP, and big data processing with Apache Spark and Flink.
- Experience designing high-performance APIs using REST, GraphQL, and gRPC, and managing integrations.
- Understanding of data security, governance, compliance frameworks, and cloud infrastructure including AWS, Azure, GCP, Kubernetes, and Terraform.
- Experience driving cross-functional and cross-organizational initiatives, including with external partners.
- Ability to mentor engineers, influence architecture, advocate for best practices, and communicate the ecosystem vision internally and externally.
- Knowledge of the broad data and AI industry; open-source contributions and developer-community engagement are a plus.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits portal.
Tech Stack
Apache FlinkApache SparkAWSAzureDatabricksGoogle Cloud PlatformGraphQLgRPCKubernetesMLflowSQLTerraform
Categories
BackendData Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.