Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an amazing career destination and why we've won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you.

Role Summary

The Analytics & Data Platform team (ADP) is responsible for Splunk’s internal data platform that empowers Splunkers across the enterprise to make the best data-driven decisions possible. We’re looking for a Senior DataOps Engineer to join the team and deliver meaningful contributions to the evolution of Splunk's data capabilities. This position is responsible for the architecture, development, maintenance, and support of Splunk's enterprise data platform; partnering with our customers to evolve the platform to support a growing number of use-cases. Additionally, all team members actively participate in the growth and development of the team, its capabilities, and its processes.

What you'll get to do

• Innovate: Design creative solutions that expand or improve the platform's capabilities with a focus on security, data privacy, maintainability, and scalability.

• Develop: Terraform, GitLab, SQL, and Python will be your go to tools, but by no means is that all. You’ll have a broad range of technologies that you’ll need to wrestle into submission to be successful: Airflow, Kubernetes, Docker, DBT, and Linux, just to name a few.

• Collaborate: Team members work together to continuously improve the team’s processes, infrastructure, codebase, etc. Asking questions, challenging ideas, and proposing alternatives are all vital for the team to continue to grow and improve. Passionate opinions are welcome.

• Operate: Perform daily activities administering the platform and supporting our users with access, deployments, research, etc; all while being attentive to opportunities for automation and improvements.

• Support: Ensure SLAs are met by monitoring alerts and responding when issues arise. Partner with other engineers or dependent teams as needed to resolve issues. Participate in on-call rotations with your teammates to address problems that occur.

Must-have Qualifications

• 8+ years of work experience in a relevant field (Data Engineering, DevOps, Backend Engineering, or similar)

• Solid understanding of modern OLAP data warehousing technologies such as Redshift, Snowflake, BigQuery, or similar

• 4+ years of hands on experience with DevOps: automation, Infrastructure as Code (IaC), CI/CD, and observability in an AWS cloud environment

• Experience with Agile processes such as Scrum and Kanban

• Deeply curious with a growth oriented mentality

Nice-to-have Qualifications

We’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that: Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.

• Understanding of current data privacy, security, and compliance concerns in an enterprise environment, and common mitigation strategies to these concerns

• Professional experience with Snowflake, Docker, Kubernetes, GitLab, and Airflow

• Experience with data and/or platform migrations

• Understanding of common Data Science use-cases for a data platform

• Past contributions to open source projects

Education:

• B.S. degree in Computer Science or similar STEM field (Science, Technology, Engineering, Mathematics); or sufficient relevant experience

What we offer:

• A constant stream of new things for you to learn. We're always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies.

• A set of extraordinarily hardworking, innovative, open, fun and dedicated peers, all the way from engineering and QA to product management and customer support.

• Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.

• A stable, collaborative and supportive work environment.

We don't expect people to work 12 hour days. We want you to have a successful time outside of work too. Want to work from home sometimes? No problem. We trust our colleagues to be responsible with their time and dedication and believe that balance helps cultivate an extraordinary environment

This isn’t a job – it’s a life changer – are you ready?

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:

Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $174,800.00 - 240,350.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $157,320.00 - 216,315.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $139,840.00 - 192,280.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com .