Bizoforce Hiring – AWS Data Engineer with IAM Admin | Juno Beach, Florida, USA

Bizoforce is hiring an experienced AWS Data Engineer with IAM Administration expertise to design, implement, and support secure AWS cloud infrastructure and identity management solutions. The ideal candidate will have strong hands-on experience with AWS IAM, Amazon Cognito, infrastructure as code, and Databricks on AWS. This role involves managing cloud architecture, implementing identity and access controls, supporting secure data engineering environments, and ensuring production readiness through monitoring, automation, resilience, and operational best practices. Experience in energy markets, utility operations, or regulated environments is an added advantage.

Experience (in Years)

• Required Experience: 8–10 years.
• Relevant Experience: Strong experience in AWS cloud engineering, infrastructure administration, and identity management.
• Technical Expertise: Hands-on experience with AWS IAM, Amazon Cognito, identity federation, and infrastructure as code.
• Databricks Experience: Practical experience deploying or integrating Databricks on AWS, including workspace configuration, networking, identity integration, and data lake access.
• Cloud Operations: Experience supporting enterprise cloud environments, production operations, monitoring, and troubleshooting.

Required Skills

• AWS Cloud Infrastructure: Experience designing, implementing, and supporting AWS environments across development, testing, and production.
• AWS IAM: Strong knowledge of IAM roles, policies, service accounts, least-privilege access controls, and identity federation.
• Amazon Cognito: Experience implementing authentication, authorization, and application integration.
• Infrastructure as Code: Hands-on experience with AWS CDK, Terraform, CloudFormation, or equivalent tools.
• Databricks on AWS: Experience with workspace architecture, configuration, identity integration, and secure connectivity.
• Data Lake Integration: Experience configuring Amazon S3 access, data lake connectivity, and appropriate access permissions.
• Cloud Networking: Understanding of VPC connectivity, network configuration, and secure cloud architecture.
• Security and Secrets Management: Knowledge of encryption, secrets management, access control, and cloud security practices.
• Monitoring and Logging: Experience implementing monitoring, logging, alerting, and operational visibility.
• Backup and Recovery: Understanding of backup, recovery, resilience, and production support practices.
• CI/CD and Automation: Experience automating cloud infrastructure deployment and configuration.
• Troubleshooting: Strong problem-solving skills for resolving infrastructure, identity, networking, and data platform issues.
• Documentation: Ability to prepare architecture diagrams, implementation plans, operational procedures, and support runbooks.

Preferred Skills / Good-to-Have Technical Experience

• Experience supporting energy trading, power market analytics, utility operations, renewable energy, or forecasting platforms.
• Familiarity with North American ISO/RTO markets, including ERCOT, PJM, MISO, SPP, CAISO, NYISO, or ISO-NE.
• Understanding of energy forecasting, market analysis, optimization, generation operations, or transmission systems.
• Experience working in regulated, cybersecurity-sensitive, or compliance-driven utility environments.
• Relevant AWS certifications.
• Experience with Databricks cluster or compute policies, secrets management, monitoring, and automated deployment.
• Familiarity with enterprise cloud architecture standards and production readiness assessments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Strong hands-on experience in AWS cloud engineering and identity administration.
• Demonstrated expertise in AWS IAM, Amazon Cognito, authentication, authorization, and identity federation.
• Practical experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation.
• Hands-on experience deploying or integrating Databricks on AWS, including S3 access, networking, IAM roles, and workspace configuration.
• Strong understanding of cloud security, monitoring, logging, encryption, and operational resilience.
• Excellent communication, documentation, troubleshooting, and stakeholder collaboration skills.

Key Responsibilities

AWS Cloud Infrastructure and Architecture

• Design, implement, and support AWS infrastructure across development, testing, and production environments.
• Establish secure, scalable, and reliable cloud architecture for the PSO platform.
• Configure and maintain cloud resources in accordance with enterprise architecture and security standards.
• Prepare logical and physical architecture diagrams, implementation plans, and technical documentation.

Identity and Access Management

• Design, implement, and manage AWS IAM roles, policies, service accounts, and identity federation.
• Apply least-privilege access principles across cloud resources and applications.
• Implement and support Amazon Cognito authentication and application integration patterns.
• Establish standards for identity management, authentication, authorization, and secure access.
• Support secure access to AWS services, data platforms, and enterprise applications.

Infrastructure as Code and Deployment Automation

• Develop and maintain reusable infrastructure templates using AWS CDK, Terraform, or

CloudFormation.

• Automate cloud environment provisioning and configuration.
• Support CI/CD pipelines and infrastructure deployment workflows.
• Maintain consistent infrastructure configurations across environments.
• Improve deployment reliability through automation and standardized implementation practices.

Databricks on AWS

• Design and support Databricks workspace architecture and deployment on AWS.
• Configure secure VPC connectivity, IAM roles, and identity integration.
• Establish secure S3 and data lake access for data engineering, analytics, and machine learning workloads.
• Configure Databricks secrets, cluster or compute policies, and access controls.
• Implement monitoring, logging, and infrastructure-as-code deployment patterns for Databricks environments.
• Troubleshoot workspace connectivity, permissions, networking, and data access issues.
• Maintain Databricks architecture documentation, configuration standards, and operational procedures.

Monitoring, Security, and Production Readiness

• Establish monitoring, logging, alerting, backup, and recovery practices.
• Implement security controls for cloud resources, identities, secrets, and data access.
• Support production readiness assessments and technical testing.
• Identify operational risks and implement appropriate resilience and recovery measures.
• Ensure cloud environments follow enterprise security and operational requirements.

Troubleshooting and Operational Support

• Troubleshoot cloud infrastructure, identity management, networking, and Databricks issues.
• Develop and maintain operational procedures and support runbooks.
• Support knowledge transfer and collaborate with engineering and operations teams.
• Document technical issues, resolutions, and recommended operational practices.
• Assist with production support and continuous improvement initiatives.

Collaboration and Technical Documentation

• Work closely with data engineers, architects, security teams, and other stakeholders.
• Coordinate infrastructure implementation and integration activities.
• Prepare and maintain technical documentation, architecture diagrams, and implementation standards.
• Deliver knowledge-transfer sessions and support documentation for ongoing operations.
• Ensure AWS and Databricks environments are properly documented and ready for production use.

Expected Deliverables

• Documented AWS cloud and identity architecture.
• Configured cloud environments and reusable infrastructure templates.
• IAM and Amazon Cognito implementation standards.
• Monitoring, logging, backup, recovery, and operational procedures.
• Databricks on AWS architecture, access models, and configuration standards.
• Databricks operational documentation and deployment automation.
• Production readiness evidence, knowledge-transfer materials, and support runbooks.

Assignment Details

• Job Location: Juno Beach, Florida, USA
• Work Mode: On-site — customer location attendance required from Day 1
• Job Type: Full Time
• Open Positions: Multiple
• Working Hours: 9:00 AM – 5:00 PM
• Hours per Week: 40 hours
• Timesheet Cycle: Weekly
• Job Status: Active