Senior Manager, Data Engineering

$181,200 - $249,150/Yr

Splunk - Raleigh, NC

Full-time - Senior

Raleigh, NC

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Senior Manager, Data Engineering at Splunk will lead the organization's metrics initiative, focusing on measuring and reporting business metrics relevant to sales, renewals, customer experience, and partner organizations. This role involves managing a team of analytics engineers to build data architecture and visualizations, ensuring alignment with best practices and structured data standards. The position requires collaboration with cross-functional teams to support a robust data architecture that enhances the Go-to-Market organization.

Responsibilities

• Effectively coordinate with key business partners to implement solutions supporting the business needs, while consistently demonstrating a service-oriented delivery approach.
• Actively collaborate with business and operations customers to derive and drive value from existing and new system technology investments.
• Responsible for recruiting, developing, and managing both internal and external resources pertaining to ongoing system implementation and support needs.
• Build a successful team with a solid focus on business value and customer-centricity.
• Optimize system support structures to ensure a high level of end-user happiness.
• Continuously look for ways to improve operations processes and increase velocity and quality.
• Evaluate emerging and new technologies; collaborate with customers on potential use within.
• Provide technical leadership and coaching, fostering accountability, innovation, and teamwork.
• Participate in applications budget and prioritization with business leaders to ensure investments are aligned with business requirements and consistently manage to ensure within the plan.
• Provides 'hands-on' leadership and support of all development tasks.
• Selects, motivates, and develops a successful staff.

Requirements

• Bachelor's degree or equivalent, with 8+ or more years of IT experience in a complex and geographically diverse environment.
• 5+ years of experience in the hi-tech industry.
• Demonstrable ability to lead effectively across matrixed teams and at peer and executive levels.
• Excellent written communication and presentation skills.
• Must have a solid understanding of data systems implementations and release cycles.
• Willingness to take personal responsibility for the outcomes resulting from judgment, guidance, and decisions.
• Ability to exercise independent judgment in methods, techniques, and evaluation criteria for obtaining results.
• Extensive knowledge of data architecture, snowflake, tableau, SQL, airflow, and python.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan and match
• Paid time off
• Incentive compensation
• Equity or long-term cash awards