Strategic Data Architect Lead

18 hours ago

Sydney, New South Wales, Australia beBeeSolution Full time $180,000 - $230,000
Senior Solution Architect Role

We are seeking a highly skilled Senior Solution Architect to join our organization in Sydney. As a key member of our architecture team, you will work closely with clients to design, deploy, and optimize EDB Postgres AI-based solutions.

Key Responsibilities:

  • Design, build, and optimize data and AI solutions tailored to each client's unique needs.
  • Collaborate with stakeholders to identify business-critical problems and map them to technical solutions within the EDB Postgres AI platform.
  • Lead the deployment of data and AI systems within diverse and dynamic environments.
  • Design and maintain robust monitoring and alerting systems instances to ensure high availability and performance.
  • Troubleshoot performance issues, identify bottlenecks, and implement optimizations to enhance speed and reliability.
  • Serve as a technical mentor for client teams, developing documentation, training materials, and best practices to enable their long-term success with EDB Postgres AI.

Requirements:

  • 5+ years of experience in database engineering, with a focus on PostgreSQL (preferably EDB technologies).
  • Proficiency in PostgreSQL, SQL tuning, PL/pgSQL, K8/OpenShift, CNCF, and experience with performance profiling and query optimization.
  • Demonstrated experience in translating complex business requirements into scalable data solutions.
  • Strong communication skills with a proven ability to understand and empathize with client needs.
  • Knowledge of scripting and automation tools such as Python, Shell scripting, or similar languages.
  • Understanding of database security, compliance requirements, and data privacy laws.

Preferred Qualifications:

  • Experience working with clients in regulated industries (e.g., finance, healthcare, government) and familiarity with industry-specific data challenges.
  • Distributed Systems Knowledge: Experience with high-availability architectures, clustering, and replication strategies.
  • Advanced Analytics: Knowledge of advanced analytics and data science methodologies, with an interest in applying these to client use cases.

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