Data Platform Engineer

Data Platform Engineer 📍 Location: Remote, US 🏢 Industry: Information Services 💼 Work Setting: Remote Are you passionate about building modern data platforms, automating cloud data operations, and growing your expertise in Snowflake, Terraform, and data engineering best practices? We are seeking a Snowflake Data Platform Engineer to support the implementation, operation, and continuous improvement of a modern cloud data platform. This role focuses on Snowflake development, Infrastructure-as-Code, CI/CD automation, data ingestion, platform reliability, and analytics enablement while providing a clear growth path toward becoming a senior platform engineer. The ideal candidate combines strong SQL, Python, cloud data platform experience, and DevOps practices with a passion for building scalable, secure, and reliable data solutions. Key Responsibilities Snowflake Platform Development Implement and maintain Snowflake objects, schemas, roles, and security policies using established engineering patterns.Develop and deploy database changes through automated CI/CD pipelines.Configure and manage platform components supporting enterprise data operations.Ensure solutions are scalable, maintainable, and aligned with governance requirements.Support continuous platform enhancement initiatives.Focus Areas Snowflake AdministrationData Platform EngineeringInfrastructure as CodePlatform AutomationData GovernanceCI/CD & DevOps Automation Manage and operate database deployment pipelines.Implement database migrations through automated deployment processes.Support continuous integration and continuous delivery for analytics and data engineering workflows.Ensure reliable testing and deployment of database and transformation assets.Improve release quality and deployment efficiency.Responsibilities CI/CD ManagementDeployment AutomationDatabase MigrationsSource ControlRelease ManagementData Transformation & Analytics Enablement Support production deployment and operation of dbt models.Collaborate with analytics engineering teams to ensure data is delivered in the structure required for reporting and analytics.Build reliable, reusable, and scalable transformation workflows.Improve data accessibility and quality for downstream consumers.Technologies dbtSQLData ModelingAnalytics EngineeringData Ingestion & Integration Configure, deploy, and maintain data ingestion pipelines.Support ingestion from internal and external source systems.Build and manage automated ingestion workflows.Monitor and troubleshoot pipeline performance and reliability.Ensure timely and accurate data availability.Data Integration Technologies SnowpipeStreams & TasksFivetranAirbyteManaged Data ConnectorsSecurity & Access Controls Implement data access controls and security policies.Apply masking, row-level access, and governance controls.Support role-based access management initiatives.Assist with ongoing security and compliance improvements.Contribute to data protection best practices.Responsibilities RBACData SecurityData PrivacyAccess ControlsGovernancePlatform Reliability & Support Monitor platform health and respond to alerts.Investigate and resolve platform incidents.Participate in on-call support rotations.Support operational reliability and service availability.Perform root-cause analysis following incidents.Focus Areas Incident ResponseTroubleshootingMonitoring & AlertingOperational SupportPlatform ReliabilityPerformance Optimization Analyze and optimize query performance.Improve efficiency of warehouse utilization and processing workloads.Support platform cost optimization initiatives.Apply established performance tuning techniques.Contribute to platform scalability improvements.Documentation & Knowledge Management Maintain technical documentation and operational runbooks.Document platform configurations, procedures, and troubleshooting steps.Support onboarding and knowledge-sharing initiatives.Ensure operational processes are clearly documented and repeatable.Professional Development & Growth Collaborate with senior engineers to learn platform architecture and engineering best practices.Expand expertise in:SnowflakeTerraformData Platform ArchitectureDevOps PracticesCloud EngineeringContribute to architecture discussions and technical improvements over time.Work toward advanced platform engineering responsibilities and certification goals. Required Qualifications Experience 2-4 years of professional experience in:Data EngineeringPlatform EngineeringSoftware EngineeringCloud Data InfrastructureExperience supporting production systems.Experience deploying and maintaining data solutions.Technical Skills SQL Strong proficiency with: Complex JoinsWindow FunctionsCTEsQuery OptimizationPerformance AnalysisProgramming Required: PythonResponsibilities AutomationScriptingData ProcessingPlatform OperationsCloud Data Platforms Experience with one or more: Snowflake (Preferred)Amazon RedshiftBigQueryDatabricks SQLVersion Control & DevOps Required: GitBranching StrategiesPull RequestsCode ReviewsCI/CD PipelinesInfrastructure as Code Experience with one or more: TerraformAWS CloudFormationPulumiAnalytics Engineering Working knowledge of: dbtData TransformationModel TestingCI/CD for AnalyticsCloud Platforms Experience with: AWSAzureAreas IAMCloud StorageNetworking ConceptsSecurity FundamentalsPreferred Qualifications Hands-on production Snowflake experience.Production dbt development experience.Experience with:Database CI/CD ToolsSchemachangeLiquibaseSnowpipeKafkaFivetranAirbyteExperience with observability platforms:DatadogGrafanaMonte CarloExperience in regulated industries such as:Financial ServicesInsuranceAutomotiveSnowPro Core Certification (or willingness to obtain).Professional Competencies Problem SolvingAnalytical ThinkingAttention to DetailOwnershipCommunication SkillsCollaborationContinuous LearningTechnical Curiosity Core Competencies SnowflakeSQLPythonTerraformdbtCI/CDData EngineeringData PipelinesSnowpipeData IntegrationGitAWSAzureInfrastructure as CodeAnalytics EngineeringData Platform OperationsMonitoring & AlertingPerformance Optimization