Senior Data Platform Analyst / Platform Developer
About the role
The primary responsibilities for Data Platform Analyst are (but not limited to):
• Lead system implementation and design and architecture for the development, enhancements, and maintenance of Cloud Data Platforms (Azure, Snowflake. Databricks) and other key cloud services (ServiceNow, Open Government Portal, Cloudera, etc.) to ensure the system design meets business requirements.
• Design, build, and customize ServiceNow applications and workflows to support business requirements, including custom modules, custom portals, forms, and automated processes.
• Design and implement integrations between ServiceNow and other GoA systems using APIs (REST/SOAP), scripting, connectors, or the Integration Hub.
• Support the design and build scalable, reliable and automatable data infrastructure, tooling, CI/CD pipelines to improve GoA’s data product delivery, analytics and data science teams using cloud platforms (Azure/ AWS/ GCP/Snowflake) and big data technologies.
• Deliver data platform management and administration including system performance, scheduled jobs, upgrades, user access, and license management.
• Configure and tune cloud-based tools to manage cost, security, and compliance for the environments. Working across a myriad of technology stacks in Azure, Cloudera, Snowflake etc.
• Provide services to support data privacy and security in adherence to enterprise policies (access control, security policies across platforms, etc.).
• Collaboration with other Team members to improve and optimize Cloud and On-premise Infrastructure systems including scalability, reliability, performance, capacity, availability and disaster recovery.
• Contribute to defining and establishing an Enterprise Data Strategy in GoA and be actively involved in the design of modern data platform features and functionalities.
• Participate in sprint planning, version control (e.g., Git), CI/CD pipelines, and automated testing to deliver incremental improvements and maintain platform(s) stability.
• Document configurations, processes, known issues, and solutions to support knowledge transfer, operational readiness, and onboarding of team members.
• Support projects to address the implementation of data product delivery components of the Data Strategy.
Senior Data Platform Analyst / Platform Developer
About the role
The primary responsibilities for Data Platform Analyst are (but not limited to):
• Lead system implementation and design and architecture for the development, enhancements, and maintenance of Cloud Data Platforms (Azure, Snowflake. Databricks) and other key cloud services (ServiceNow, Open Government Portal, Cloudera, etc.) to ensure the system design meets business requirements.
• Design, build, and customize ServiceNow applications and workflows to support business requirements, including custom modules, custom portals, forms, and automated processes.
• Design and implement integrations between ServiceNow and other GoA systems using APIs (REST/SOAP), scripting, connectors, or the Integration Hub.
• Support the design and build scalable, reliable and automatable data infrastructure, tooling, CI/CD pipelines to improve GoA’s data product delivery, analytics and data science teams using cloud platforms (Azure/ AWS/ GCP/Snowflake) and big data technologies.
• Deliver data platform management and administration including system performance, scheduled jobs, upgrades, user access, and license management.
• Configure and tune cloud-based tools to manage cost, security, and compliance for the environments. Working across a myriad of technology stacks in Azure, Cloudera, Snowflake etc.
• Provide services to support data privacy and security in adherence to enterprise policies (access control, security policies across platforms, etc.).
• Collaboration with other Team members to improve and optimize Cloud and On-premise Infrastructure systems including scalability, reliability, performance, capacity, availability and disaster recovery.
• Contribute to defining and establishing an Enterprise Data Strategy in GoA and be actively involved in the design of modern data platform features and functionalities.
• Participate in sprint planning, version control (e.g., Git), CI/CD pipelines, and automated testing to deliver incremental improvements and maintain platform(s) stability.
• Document configurations, processes, known issues, and solutions to support knowledge transfer, operational readiness, and onboarding of team members.
• Support projects to address the implementation of data product delivery components of the Data Strategy.