Senior Solution Architect
As a Resident Architect specializing in EDB Postgres AI, you will work onsite with our clients to architect, deploy, and optimize EDB Postgres AI-based solutions. You’ll be deeply embedded within client teams to tackle their toughest challenges, translating data into actionable insights and resilient systems. Combining hands-on engineering expertise with a consultative approach, you’ll own the end-to-end delivery of critical data infrastructure that powers complex decision-making at scale.
What your impact will be…
Data Architecture & Engineering: Design, build, and optimize data and AI solutions tailored to the unique needs of each client. Use expertise in data modeling, indexing, and query optimization to drive efficiency and performance.
Client-Focused Problem Solving: Collaborate closely with stakeholders to identify business-critical problems and map them to technical solutions within the EDB Postgres AI platform. Propose, prototype, and implement solutions that support operational and analytical requirements.
Deployment & Integration: Lead the deployment of data and AI systems within diverse and dynamic environments. Develop scalable processes to integrate EDB Postgres AI with existing data infrastructure, ensuring smooth interoperability with other databases, applications, and ETL pipelines.
Operational Excellence: Design and maintain robust monitoring and alerting systems instances to ensure high availability and performance. Drive automation of routine database maintenance, security updates, and backup/restore processes.
Optimization & Troubleshooting: Dive deep into troubleshooting performance issues, identify bottlenecks, and implement optimizations to enhance speed and reliability. Lead initiatives to refactor or improve legacy systems.
Client Enablement & Training: 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.
Innovation & Thought Leadership: Stay up-to-date with the latest in EDB Postgres AI advancements, industry trends, and emerging best practices. Contribute to a culture of continuous improvement by sharing insights, refining methodologies, and encouraging knowledge sharing.
What you will bring…
Experience: 5+ years of experience in database engineering, with a focus on PostgreSQL (preferably EDB technologies).
Technical Skills: Proficiency in PostgreSQL, SQL tuning, PL/pgSQL, K8/OpenShift, CNCF, and experience with performance profiling and query optimization. Familiarity with PostgreSQL extensions (like PG vector) is a plus.
Problem Solving: Demonstrated experience in translating complex business requirements into scalable data solutions.
Client Orientation: Strong communication skills with a proven ability to understand and empathize with client needs, ensuring solutions are impactful and user-centric.
Programming: Knowledge of scripting and automation tools such as Python, Shell scripting, or similar languages.
Security and Compliance: Understanding of database security, compliance requirements, and data privacy laws.
What will give you an edge…
Industry Experience: 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.
Senior Solution Architect
As a Resident Architect specializing in EDB Postgres AI, you will work onsite with our clients to architect, deploy, and optimize EDB Postgres AI-based solutions. You’ll be deeply embedded within client teams to tackle their toughest challenges, translating data into actionable insights and resilient systems. Combining hands-on engineering expertise with a consultative approach, you’ll own the end-to-end delivery of critical data infrastructure that powers complex decision-making at scale.
What your impact will be…
Data Architecture & Engineering: Design, build, and optimize data and AI solutions tailored to the unique needs of each client. Use expertise in data modeling, indexing, and query optimization to drive efficiency and performance.
Client-Focused Problem Solving: Collaborate closely with stakeholders to identify business-critical problems and map them to technical solutions within the EDB Postgres AI platform. Propose, prototype, and implement solutions that support operational and analytical requirements.
Deployment & Integration: Lead the deployment of data and AI systems within diverse and dynamic environments. Develop scalable processes to integrate EDB Postgres AI with existing data infrastructure, ensuring smooth interoperability with other databases, applications, and ETL pipelines.
Operational Excellence: Design and maintain robust monitoring and alerting systems instances to ensure high availability and performance. Drive automation of routine database maintenance, security updates, and backup/restore processes.
Optimization & Troubleshooting: Dive deep into troubleshooting performance issues, identify bottlenecks, and implement optimizations to enhance speed and reliability. Lead initiatives to refactor or improve legacy systems.
Client Enablement & Training: 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.
Innovation & Thought Leadership: Stay up-to-date with the latest in EDB Postgres AI advancements, industry trends, and emerging best practices. Contribute to a culture of continuous improvement by sharing insights, refining methodologies, and encouraging knowledge sharing.
What you will bring…
Experience: 5+ years of experience in database engineering, with a focus on PostgreSQL (preferably EDB technologies).
Technical Skills: Proficiency in PostgreSQL, SQL tuning, PL/pgSQL, K8/OpenShift, CNCF, and experience with performance profiling and query optimization. Familiarity with PostgreSQL extensions (like PG vector) is a plus.
Problem Solving: Demonstrated experience in translating complex business requirements into scalable data solutions.
Client Orientation: Strong communication skills with a proven ability to understand and empathize with client needs, ensuring solutions are impactful and user-centric.
Programming: Knowledge of scripting and automation tools such as Python, Shell scripting, or similar languages.
Security and Compliance: Understanding of database security, compliance requirements, and data privacy laws.
What will give you an edge…
Industry Experience: 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.