Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. 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. Come help organizations be their best, while you reach new heights with a team that has your back. Role Summary As the lead Data Engineer on the larger Marketing Operations and Analytics Team, you will be responsible not only for developing new intelligence around marketing performance through data architecture and infrastructure development but also managing and mentoring a team of experts (5). In this role, sample projects you might dive into include the following: How can we evolve our marketing attribution model? How can we refine ROI measurement? How can we design the most effective marketing mix for customer acquisition, customer retention and pipeline acceleration? But also tap into your desire and interest for innovation to help drive evolution within and across the organization. Responsibilities + Possess deep understanding of Cloud Data Warehouse methodologies, Data Architecture, Data Modeling and Digital Metadata. + Deliver highly available, reliable, innovative large-scale data warehousing solutions to facilitate data ingestion, build optimized aggregates and build reporting solutions. + Develop scalable integration strategy to span multiple marketing channels, external vendors and data sources and internal warehouses. + Write production-quality code to build models and work with IT and marketing teams to deploy them in production dashboards. + Manage/mentor a team of highly skilled data engineers. + Own the data engineering roadmap aligning with business needs, priority and overarching business strategy. + Work closely with Go-To-Marketing sales, marketing operations and analytics teams to enable effective measurement and continual optimization of campaign performance. Requirements + 5+ years of hands-on experience in developing and deploying data architecture strategies or engineering practices for a marketing and/or sales team. + 5+ years experience with complex SQL queries and knowledge of database technologies including window and analytical functions. + Deep knowledge and hands-on experience working with Cloud database technologies like Redshift, Snowflake and multiple BI platforms such as Tableau, Splunk and scripting language like Python. + Exposure, experience with DBT database management approach. + Strong understanding of current marketing analytics best practices, including attribution and ROI methodologies. + Self-starter with a passion and curiosity for solving unstructured data problems and ability to manipulate and optimize large data sets. + Strong communication skills and an ability to provide technical guidance, direction and problem solving to less technical audiences. + Confidence to offer consultation and communicate effectively with business partners and team members across Sales, Partner, Marketing Operation. + Familiarity working with AGILE/SCRUM process management. Education Bachelor’s degree preferably in Computer Science, Information Technology, Management Information Systems, or equivalent years of industry experience.