• Design, build, and optimize data pipelines and ETL workflows • Develop scalable data models, data structures, and data integrations • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks • Ensure data quality, governance, security, and compliance • Partner with business stakeholders, analysts, and data scientists • Contribute to or lead complex, cross-functional data initiatives • Improve platform reliability through monitoring, validation, and automation • Create clear documentation, runbooks, and data lineage • Mentor junior engineers (Senior-level roles)

• Design and develop solutions addressing new features, interoperability, vulnerabilities, and system limitations. • Evaluate current capabilities, anticipate future needs, and partner with stakeholders and vendors to deliver enhancements. • Research, design, and implement enterprise security solutions that align with business strategy and protect organizational data. • Support and influence change management and security initiatives across assigned areas. • Integrate security into business processes and assess risks associated with new applications and technologies. • Provide recommendations to mitigate risk and support business objectives. • Serve as a security subject matter expert to engineering, architecture, and development teams. • Perform advanced troubleshooting and provide support, including participation in on-call rotations. • Deliver timely reports and findings to management and leadership. • Recommend and interpret security policies, standards, and best practices. • Identify risk gaps and develop appropriate solutions. • Stay current on emerging threats and trends, assessing impact and integrating improvements into security strategies. • Drive process improvements that enhance quality and efficiency across teams. • Provide guidance and technical direction on complex initiatives. • Develop and maintain correlation searches and alerts using diverse log sources. • Optimize detection and response through automation, orchestration, and advanced analytics. • Monitor and ensure the effectiveness of prevention, detection, and response capabilities. • Collaborate with cybersecurity engineering and threat intelligence teams to improve security tools and processes. • Contribute to the development of cybersecurity procedures. • Mentor and train team members. • Demonstrate initiative and accountability in achieving results.

• Design, build, and optimize data pipelines and ETL workflows • Develop scalable data models, data structures, and data integrations • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks • Ensure data quality, governance, security, and compliance • Partner with business stakeholders, analysts, and data scientists • Contribute to or lead complex, cross-functional data initiatives • Improve platform reliability through monitoring, validation, and automation • Create clear documentation, runbooks, and data lineage • Mentor junior engineers (Senior-level roles)

• Be a sought-after technical partner who works with product managers and business teams to understand problems and propose solutions • Build high quality solutions that implement engineering best practices • Mentor junior data engineers and analysts, leading by example • Maintain high operational excellence, participating in the team on-call support rotation and constantly improving our systems