• Manage a small team of data engineers focused on operational support, reliability, and platform engineering. • Provide mentorship, guidance, and performance feedback to team members. • Be hands-on in writing production-grade code to support data product development, collaborating directly with data engineers and architects. • Design and implement scalable support processes for data pipelines and platforms. • Foster a culture of accountability, continuous learning, and collaboration. • Own and evolve incident response playbooks, ensuring rapid and effective resolution. • Collaborate with cross-functional teams to define service levels and reduce downtime. • Lead efforts to enhance data observability using tools like Monte Carlo, Bigeye, or similar. • Define and track key metrics for data health, latency, and reliability. • Drive adoption of proactive monitoring and alerting systems. • Identify opportunities to automate repetitive support tasks and incident triage. • Partner with platform and analytics teams to streamline data delivery and quality assurance. • Contribute to documentation and knowledge base development. • Act as a point of contact for operational escalations and support inquiries. • Communicate effectively with business and technical stakeholders regarding incidents and resolutions. • Support onboarding and enablement of new data users and engineers.