- Create scalable and dependable architecture to power a modern data platform supporting batch and streaming capabilities.
- Design and build systems from the ground up or evaluate and integrate third-party technologies to ensure optimal scalability, performance, and responsiveness for end users.
- Engineer solutions that work seamlessly across SaaS and on-premise environments.
- Optimize data pipelines and infrastructure with a focus on reliability, throughput, observability, and automation.
- Plan and implement system automation to increase efficiency and minimize manual intervention.
- Lead system integration, testing, and production readiness activities across multiple projects.
- Monitor and support all installed infrastructure and system software to ensure maximum uptime and compliance with internal standards.
- Conduct performance tuning, postmortems, and design reviews to improve system scalability and resilience.
- Collaborate with internal teams and external partners to align on system design and deliver tailored solutions that meet technical and business needs.
- Define system architecture roadmaps, lead feasibility assessments, and contribute to long-term strategic initiatives.
- Use process optimization and risk management to deliver reliable, stakeholder-aligned outcomes.
- Ensure compliance with security policies, industry standards, and engineering best practices.
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