Lead Data & Cloud Solutions Senior Engineer (M.S. or Ph.D.)

Overview In this role you will lead for the Data Sciences Practice, delivering advanced software, data engineering, analytics, and DevOps solutions for clients. You will guide cross-functional teams through client engagements, from need framing to actionable recommendations, while shaping scalable cloud architectures and robust deployment pipelines. You will act as a technical lead, product owner, or Scrum Master to enable iterative delivery. You will translate complex findings into clear client impact and support business development. This is a hands-on, multidisciplinary, high-impact position at a firm focused on solving technologically complex problems. Compensation / BenefitsLife@Exponent programscompetitive benefitsannual bonus401(k) employer contributioncareer growth opportunitiesdiscretionary bonuses for high-intensity efforts ResponsibilitiesDeliver technical consulting across software development, data engineering, data science, and DevOps to build scalable data solutionsLead or co-lead client engagements: identify needs, frame problems, plan projects, deploy analytics, and translate insights into actionsServe as technical lead, product owner, or Scrum Master to facilitate Agile/DevOps workflows and manage cross-functional teamsDesign cloud-based architectures, automate deployments, and enforce reliability, monitoring, and security best practicesAdvise on technical and strategic solutions, spotting opportunities for scalable, efficient systemsSupport business development by cultivating client relationships and shaping technical/ business proposalsCreate clear data visualizations and dashboards and present results to varied stakeholders Key requirementsAdvanced degree in a relevant fieldExpertise in software development with DevOps/Agile leadership experienceData engineering, data science, and DevOps experienceExperience deploying data-intensive apps in cloud or hybrid environments (AWS, Azure, Google Cloud)Proficiency in at least two of Python, R, C++, SQL, or Linux, with cross-platform development3–6 years hands-on DevOps tools experience (Docker, Kubernetes, Jenkins, Git, Terraform, Ansible)Experience with visualization tools (Tableau, Power BI, or custom web dashboards)Strong communication; ability to translate technical concepts for diverse audiencesBusiness acumen with entrepreneurial mindset and track record in client-facing deliveryConsulting experience or equivalent client-facing project deliveryStrong project management and organizational skills; autonomous and collaborative working styleclear communicationcross-functional collaborationentrepreneurial mindsetCloud platforms (AWS, Azure, Google Cloud)Software development practices; DevOps and AgileData engineering, ML/analytics