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Role:
The Senior Data Engineer will be involved in building data pipelines at a large scale to enable business teams to work with data and analyze metrics that support and drive the business. You will partner with cross functional teams to identify opportunities and continuously develop and improve processes for efficiency.
The team is looking for a Senior Data Engineer who can architect and build solutions across multiple data sources to deliver metrics/reporting use cases. This position is responsible to build and scale the data platform that works to provide business analytics. The role involves ownership and technical delivery, working closely with other members (BI engineers and Infrastructure teams plus other data roles, including Data Governance, Quality, and Architecture Stewards). Strong technical experience within enterprise software is essential.
Responsibilities:
- Responsible for developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization and advanced business intelligence
- Leading data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects
- Partner with business domain experts, system analysts, data/application architects, and development teams to ensure data design is aligned with business strategy and direction
- Identify and document standard methodologies, standards, and architecture guidelines
- Dive deep, as required, to assist Business Intelligence Engineers through technical hurdles impacting delivery
- Identify ways to improve Data Reliability, Data Efficiency and Data Quality
Required Qualifications, Skills & Experience:
- 7+ years of data engineering related experience such as data analysis, data modeling, and data integration.
- Experience with GTM and customer success business processes and applications
- Experience in custom ETL design, implementation, and maintenance
- Strong knowledge of programming languages (e.g. Python and Object Oriented Programming)
- Hands-on experience with SQL database design
- Familiarity with Learning/LMS data (e.g., Cornerstone/SABA) is desired
- Experience working on CI/CD processes and source control tools such as GitHub and GitLab
- Experience working Snowflake and relational databases
- Extensive hands-on experience in leading large-scale full-cycle cloud enterprise data warehousing (EDW) implementations like Snowflake
- Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle
- Experience with or exposure to data governance & quality principles and practices
- Excellent communication and interpersonal skills with a demonstrated ability to influence a large organization
- Passionate about data solutions, technologies, and frameworks
We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. 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. Click here (https://careers.jobvite.com/Splunk/EEO_poster.pdf) to review the US Department of Labor’s EEO is The Law notice. Please click here (https://drive.google.com/open?id=1vh3OeJmpd3C8hzvm7OPdkLFIZ3EptFiD) to review Splunk’s Equal Employment Opportunity Policy Statement.
(Colorado only*) Minimum base salary of $115,000.00. You may also be eligible for incentive pay + equity + benefits.*Note: Disclosure per sb19-085 (8-5-201 et seq).
Thank you for your interest in Splunk!