Engineer, Data & Cloud, Clark Capital - Full-time

**Technical Skills & Responsibilities** + Design, build, test, deploy, and maintain scalable ETL/ELT pipelines using Matillion or similar technologies to support reporting, analytics, applications, and AI. + Develop and optimize complex SQL transformations and data models in Snowflake, emphasizing performance, maintainability, testing, and data quality. + Develop and deploy Python-based automation and serverless workflows, including AWS Lambda functions, to support data ingestion, orchestration, and recurring operational tasks. + Use infrastructure-as-code practices and tools, such as Terraform or AWS CloudFormation, to provision and maintain cloud resources consistently. + Administer and optimize the Snowflake environment, including roles, warehouses, resource monitors, query performance, usage and cost controls. + Administer and support AWS resources used by the data platform, including S3, CloudWatch, EventBridge, Secrets Manager, and KMS. + Implement monitoring and alerting across pipelines and platform services to surface health, performance, and data quality issues before they reach the business. + Manage least-privilege, role-based access across Snowflake, AWS, Bitbucket, and related platforms, partnering with Information Security and Infrastructure to implement and review IAM roles, policies, and service accounts. + Implement secure data sharing and integration with custodians, external partners, and vendors. + Create and maintain architecture diagrams, data-flow documentation, operational runbooks, and platform standards. + Participate in production support and incident resolution, troubleshooting data quality, performance, and reliability issues and converting recurring failures into permanent fixes, monitoring rules, or runbook entries. **Competencies for Success:** + Bachelor’s degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience. + Minimum of five years of experience in data engineering, cloud engineering, platform engineering, or a related technical role supporting production systems. + Willing to work on-site in downtown Philadelphia 3 days a week. + Ability to communicate technical concepts, risks, incidents, and recommendations clearly to technical and business stakeholders. + Strong analytical, troubleshooting, and root-cause analysis skills. + Demonstrated attention to detail. + Ability to prioritize project work, operational responsibilities, and production issues in a high-accountability environment. + Experience developing and deploying software using the Agile methodologies + Security-first mindset with a practical understanding of least privilege, data protection, secrets management, encryption, and auditable access controls. + Solutions-oriented and accountable, with the ability to take ownership of ambiguous technical problems and drive them from investigation through sustainable resolution. + Commitment to continuous improvement through automation, documentation, standardization, and the elimination of recurring operational issues.