PostgreSQL DBA

• Experience in the design, maintenance, and administration of EDB Postgres, Postgres Distributed and AWS RDS.
• Deep understanding of EDB Postgres architecture and internals.
• Proficient in PostgreSQL installation and configuration, especially PostgreSQL Plus Advanced Server and Postgres Distributed from EnterpriseDB.
• Skilled in PostgreSQL monitoring and alerting tools, particularly PEM. Familiarity with observability tools like Splunk and Dynatrace is a plus.
• Experienced in setting up, configuring, and monitoring PostgreSQL binary and logical replication (e.g., Binary Streaming, Bi-Directional Replication - BDR).
• Strong skills in collecting diagnostics and tuning PostgreSQL and SQL performance.
• Proficient in PostgreSQL procedural languages (PL/pgSQL, PL/Tcl, PL/Perl, PL/Python) and SQL.
• Excellent troubleshooting and debugging skills.
• Experience in performance tuning and automation for Postgres and AWS platforms.
• Proficient in Linux, especially Oracle Linux Enterprise.
• Familiarity with scripting languages such as Bash, KSH, and Perl.

Postgres/Cassandra Database Engineer

12+ Months

Location: St. Louis, MO (Hybrid)

About You On Postgres Skills

• Experience in the design, maintenance, and administration of EDB Postgres, Postgres Distributed and AWS RDS.
• Deep understanding of EDB Postgres architecture and internals.
• Proficient in PostgreSQL installation and configuration, especially PostgreSQL Plus Advanced Server and Postgres Distributed from EnterpriseDB.
• Skilled in PostgreSQL monitoring and alerting tools, particularly PEM. Familiarity with observability tools like Splunk and Dynatrace is a plus.
• Experienced in setting up, configuring, and monitoring PostgreSQL binary and logical replication (e.g., Binary Streaming, Bi-Directional Replication - BDR).
• Strong skills in collecting diagnostics and tuning PostgreSQL and SQL performance.
• Proficient in PostgreSQL procedural languages (PL/pgSQL, PL/Tcl, PL/Perl, PL/Python) and SQL.
• Excellent troubleshooting and debugging skills.
• Experience in performance tuning and automation for Postgres and AWS platforms.
• Proficient in Linux, especially Oracle Linux Enterprise.
• Familiarity with scripting languages such as Bash, KSH, and Perl.

Roles And Responsibilities

• Excellent interpersonal and communication skills.
• Strong collaboration skills to work effectively across cross-functional teams.
• Forward-thinking approach to infrastructure automation and scripting.
• Ability to work with global teams across multiple time zones.
• Self-motivated with the ability to work independently and seek guidance when needed.
• Ability to understand application data requirements and recommend appropriate database solutions.
• Responsible for designing, deploying, and maintaining EDB Postgres, PGD and AWS RDS database clusters to support large-scale platforms and applications.
• Create and manage fully functional database clusters across development, QA, and production environments, with experience in performance tuning.
• Review existing configurations and recommend improvements.
• Assist with planning and executing Postgres database upgrades and migrations.
• Provide day-to-day administrative support and maintenance for Postgres and AWS Aurora databases.
• Participate in production support and on-call rotations as needed.
• Collaborate with Postgres and cloud vendors and utilize their support channels.
• Develop and implement backup strategies, perform upgrades, and apply patches.
• Identify inefficiencies and implement optimized solutions.
• Design and execute data and database migrations to new hardware or platforms.
• Lead best practices and database solution strategies at Mastercard.
• Work with management to plan and implement new tools and data services.
• Represent Database Engineering in strategic planning and long-term direction.
• Support both internal and future cloud-managed Postgres systems, define best practices, and drive automation and innovation.
• Collaborate with multiple application teams and developers.
• Assist in defining long-term strategic goals for database development in alignment with stakeholders.

On Cassandra Skills Set

Roles and Responsibilities

• Design, deploy, and maintain Cassandra clusters across development, stage, and production environments.
• Ensure high availability, fault tolerance, and disaster recovery capabilities in Cassandra deployments.
• Collaborate with application teams to understand data access patterns and optimize data models accordingly.
• Monitor and tune performance of Cassandra clusters, compaction strategies, and read/write throughput.
• Develop and implement backup, restore, and archival strategies
• Automate operational tasks using scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Ansible, Terraform).
• Participate in on-call rotations and provide production support for critical incidents.
• Define and enforce best practices for schema design, replication strategies, and consistency levels.
• Lead efforts in upgrading Cassandra versions and applying patches with minimal downtime.
• Collaborate with security teams to ensure compliance with internal and external data protection standards.
• Document architecture, configurations, and operational procedures for knowledge sharing and audit readiness.

Required Skills And Experience

• Deep understanding of Cassandra internals, including repair mechanisms.
• Proficiency in NoSQL and experience with Cassandra drivers (Java, Python, etc.).
• Experience with monitoring tools such as Prometheus, Grafana, and DataStax OpsCenter.
• Familiarity with multi-region deployments and hybrid cloud architectures.
• Strong troubleshooting and debugging skills for distributed systems.
• Experience with data migration and integration across heterogeneous systems.
• Excellent communication and collaboration skills to work across global teams and time zones.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
• Experience with complementary NoSQL technologies (e.g., Redis, MongoDB) is a plus.
• Exposure to Kubernetes and Cassandra operators (e.g., Cass-Operator) is desirable.