Description

• 
  Design, implement, and maintain cloud infrastructure, data platforms, and applications using Snowflake, Spark, dbt, SQL, and AWS.
• Collaborate with cross-functional teams to implement cloud-based solutions that meet defined technical and business requirements.
• Support cloud infrastructure and data platform design, configuration, deployment, maintenance, and operational readiness.
• Monitor and manage cloud environments to ensure optimal performance, availability, reliability, and resource utilization.
• Develop and maintain data processing and transformation workflows using Spark, dbt, and SQL.
• Support database management activities across MySQL, PostgreSQL, Oracle, and applicable cloud database environments.
• Use automation and configuration management tools such as Terraform, Chef, and Puppet to improve consistency and delivery efficiency.
• Support virtualization technologies, including VMware and Hyper-V, where required by the environment.
• Provide technical support to clients in the use and operation of cloud-based solutions.
• Troubleshoot cloud infrastructure, data processing, database, virtualization, and application issues.
• Apply strong problem-solving and troubleshooting skills to identify root causes and implement effective corrective actions.
• Stay current with industry trends and best practices to enhance cloud services and data engineering capabilities.
• Promote sustainable technology practices through efficient cloud resource usage, workload optimization, automation, and maintainable solution design.
• Deliver reliable, secure, and supportable cloud solutions in line with agreed performance, availability, and service expectations. 
  
   

Technical Skills (By Category)

Programming Languages

Essential

 

• Strong SQL skills for querying, transformation, validation, data analysis, and database development.
• Ability to work with data processing logic and transformation workflows relevant to Spark, dbt, Snowflake, and AWS.
• Ability to create maintainable and reusable data engineering solutions. 
  
   

Preferred

 

• Experience with programming or scripting languages used for Spark processing, cloud automation, and data engineering.
• Experience developing automation scripts for cloud infrastructure, data workflows, monitoring, or operational support. 
  
   

Databases/Data Management

Essential

 

• Strong experience with SQL.
• Experience with Snowflake as a cloud data platform.
• Knowledge of database management systems, including MySQL, PostgreSQL, and Oracle.
• Understanding of data structures, data modeling, data transformation, data quality, and data validation.
• Experience developing or supporting data workflows using Spark and dbt.
• Ability to assess data platform performance, availability, reliability, and maintainability. 
  
   

Preferred

 

• Experience with data warehousing, data integration, data lineage, metadata, reconciliation, and data governance.
• Experience optimizing SQL queries, Snowflake workloads, Spark jobs, and dbt models.
• Experience with data migration and integration across cloud and on-premises environments. 
  
   

Cloud Technologies

Essential

 

• Proficiency in AWS.
• Proficiency in Microsoft Azure and Google Cloud Platform.
• Ability to design, implement, maintain, monitor, and troubleshoot cloud infrastructure and applications.
• Understanding of cloud performance, availability, scalability, networking, storage, security, and resource management.
• Experience supporting cloud-based data engineering workloads. 
  
   

Preferred

 

• Experience designing and supporting multi-cloud solutions.
• Experience with cloud-native data platforms and services.
• Experience implementing cloud cost optimization, resource efficiency, monitoring, and operational automation.
• Experience applying sustainable cloud practices to reduce unnecessary resource consumption. 
  
   

Frameworks and Libraries

Essential

 

• Apache Spark for distributed data processing.
• dbt for data transformation and model management.
• Snowflake for cloud data warehousing and data platform solutions.
• Ability to integrate data processing, transformation, storage, and cloud infrastructure components. 
  
   

Preferred

 

• Experience with reusable data engineering frameworks and transformation standards.
• Experience with workflow orchestration, data quality frameworks, monitoring libraries, and operational utilities.
• Experience supporting scalable data processing and transformation architectures. 
  
   

Development Tools and Methodologies

Essential

 

• Familiarity with automation and configuration management tools, including Terraform, Chef, and Puppet.
• Experience with virtualization technologies, including VMware and Hyper-V.
• Experience with cloud monitoring, incident management, troubleshooting, and operational support.
• Ability to work independently and as part of a cross-functional team.
• Ability to apply structured delivery, documentation, change management, and support practices. 
  
   

Preferred

 

• Experience with infrastructure as code and automated environment provisioning.
• Experience with continuous integration, continuous delivery, automated testing, deployment automation, and release management.
• Experience documenting cloud architectures, operational procedures, data workflows, and support processes. 
  
   

Security Protocols

Essential

 

• Awareness of cloud security principles and secure infrastructure management.
• Understanding of identity and access management, authentication, authorization, encryption, network security, and data protection.
• Ability to protect sensitive data in Snowflake, databases, cloud platforms, and data processing workflows.
• Ability to identify, document, and escalate cloud, infrastructure, data, and operational security risks. 
  
   

Preferred

 

• Experience implementing security controls across AWS, Microsoft Azure, and Google Cloud Platform.
• Experience supporting access reviews, security assessments, audit activities, vulnerability remediation, and compliance requirements.
• Experience incorporating security and data protection checks into automated cloud deployment processes. 
  
   

Experience Requirements

 

• 05–08 years of experience in cloud computing and virtualization.
• Relevant experience designing, implementing, maintaining, monitoring, and troubleshooting cloud infrastructure and applications.
• Experience with AWS, Microsoft Azure, and Google Cloud Platform.
• Experience with Snowflake, Spark, dbt, SQL, and cloud-based data engineering solutions.
• Experience with automation and configuration management tools such as Terraform, Chef, and Puppet.
• Experience with database management systems, including MySQL, PostgreSQL, and Oracle.
• Experience with virtualization technologies such as VMware and Hyper-V.
• Experience in a relevant industry, such as technology or finance.
• Experience providing technical support for cloud-based solutions is preferred.
• Candidates may qualify through an equivalent combination of cloud computing, virtualization, data engineering, database management, automation, and demonstrated delivery experience. 
  
   

Day-to-Day Activities

 

• Design, implement, maintain, and troubleshoot cloud infrastructure, Snowflake data platforms, Spark processing, dbt transformations, SQL workflows, and AWS-based applications.
• Collaborate with cross-functional teams through solution planning, technical discussions, implementation activities, service reviews, and operational support meetings.
• Monitor cloud environments and data workloads, investigate performance or availability issues, and deliver configuration, automation, documentation, and support outputs.
• Provide technical guidance and support to clients, prioritize incidents and tasks, and make assigned operational and implementation decisions within defined standards and responsibilities. 
  
   

Qualifications

 

• Bachelor’s degree in Computer Science, Information Technology, or a related field; an equivalent combination of education and relevant professional experience may be considered.
• 05–08 years of experience in cloud computing and virtualization, with relevant experience in cloud data engineering and platform support.
• Certifications in cloud computing platforms, such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator Associate, are preferred.
• Complete relevant training in AWS, Microsoft Azure, Google Cloud Platform, Snowflake, Spark, dbt, SQL, infrastructure automation, virtualization, and cloud security as applicable.
• Maintain continuous professional development by staying current with cloud computing, data engineering, automation, virtualization, security, and industry best practices

Key Skills

Education

Bachelor's degree