Lead client-facing enterprise data platform architecture and implementations, including governance, security, scalability, cost management, and operational practices. Guide teams in designing, building, deploying, and optimizing Databricks-based data products and pipelines while setting standards and collaborating with business and technical stakeholders.
The Application Support Engineer will take technical ownership of custom business applications, diagnosing and resolving production issues. They will also develop, test, and deploy bug fixes and minor enhancements while maintaining documentation and collaborating with cross-functional teams.
Design, provision, and maintain cloud infrastructure while automating deployment processes using Infrastructure as Code. Monitor system health and collaborate with engineering teams to ensure reliable, scalable, and secure application delivery.
Deliver end-to-end features across the application stack, from frontend implementation to backend microservices development. Collaborate with cross-functional teams to maintain high engineering standards, automated testing, and continuous delivery pipelines.
The QA Automation Engineer will build and maintain end-to-end UI and API automation suites while integrating them into CI/CD pipelines. They will also perform exploratory testing, document defects, and collaborate with cross-functional teams to ensure high-quality product releases.
The Software Engineering Manager will design, develop, and maintain scalable software solutions for a Data Management Platform. They will collaborate with cross-functional teams and client stakeholders to define technical solutions and ensure high-quality code delivery.
Lead and manage project teams to deliver high-impact solutions while ensuring project profitability and adherence to company standards. Drive client success by evaluating strategic frameworks, managing risks, and fostering strong relationships with stakeholders.
You will lead consulting engagements and act as a technical advisor to client leadership, driving high-performing teams to deliver complex software and infrastructure solutions. The role involves conducting architectural discoveries, evaluating technical debt, and synthesizing actionable modernization roadmaps for enterprise clients.
Lead data architecture transformations and migrations to modern cloud solutions while designing scalable ETL/ELT pipelines. Manage end-to-end data projects and provide technical guidance to cross-functional teams to ensure alignment with client goals.
