Distinguished Engineer-Data Platforms

at  Splunk

REQUIREMENTS:

Please note that the following requirements are flexible and should be viewed as guidelines rather than strict criteria. We understand that no candidate may meet every qualification listed.
We anticipate that the skills, competencies, and experiences outlined below will generally align with someone who has approximately 15-20 years of experience in building large software systems. However, we recognize that years of experience are merely a proxy for the depth of knowledge, abilities, and hands-on expertise that a candidate may bring to the role.

Knowledge, Skills, and Abilities:

• Required: Strong knowledge of how data intensive applications are constructed and run efficiently.
• Required: Experience leading diverse teams across multiple locations
• Required: Strong software development experience across large codebases
• Required: Knowledge of indexing & storage technology
• Preferred: Best practices and state of the art for delivering software both on-premise and in the cloud. This role could be considered living in the Hybrid space, so both are important.
• Preferred: Experience leading large scale change (of mindsets, technologies, or tooling) in codebases and organizations.
• Preferred: Microservices and monolith based development
• Preferred: Web protocols and distributed systems

Competencies:

• Helping people grow their skills and abilities to meet their career goals
• Building psychologically safe environments, where learning is encouraged and failure is not punished.
• Clear and direct communication
• Constant learning

Background experiences:

• Experience in technically leading projects requiring teams of 100+ Engineers
• Experience in large scale storage and indexing systems.
• Full time software development
• Experience working within complex projects with stakeholders across an organization, building trust, and communicating such that there are few surprises.
• Experience diving deep technically into both on-premise and cloud software

Splunk is an Equal Opportunity Employer: At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
Note:

RESPONSIBILITIES:

The responsibilities of this role include:

• Working with and understanding the Splunk architecture and product, in depth and in all deployment modes.
• Deep understanding of the development experience for line engineers in your areas of ownership.
• Understanding the business context in which we operate, and the current strengths and limitations of our system within that context.
• Building and executing a strategic technical plan for the future of the Data Platform technology area, that both builds on the technology that makes Splunk unique while tactically dropping the technical debt accrued.
• Partnering with Product and Engineering Leads to ensure the technology and organization matches the needs of the product strategy long term.
• Mentoring and teaching other engineers through both one-on-one and in large team meetings.
• Grounding your understanding of customer needs through regular discussion with customers and the field. While you’re not in a product management or customer facing role, you will need to partner with customers and non-Engineering counterparts regularly.

Day to day life in this role will include:

• Conducting architectural reviews of designs affecting not only the Data Platform area, but the across dependent peer teams as part of the DE team. The goal of these reviews is to simultaneously hold a high architectural bar while also providing a safe environment for critique and learning.
• Partnering with Product leads to match strategic product vision with engineering reality
• Creating architectural designs with the clarity for the organization to see the destination, but with enough space for other engineers to help build the details.
• Partnering with engineering and technical leaders to ensure efficient execution of the teams.
• One-on-one coaching and mentoring of engineers both inside and outside your teams.
• Diving deep into the codebase on your own non-critical-path coding projects.
• Code reviews, to both guide engineers and set a high standard for quality