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# AWS Cloud Data Admin -- W2 Profiles -- Hybrid

- **Company:** Trebecon LLC
- **Location:** Raritan, NJ, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Query Performance, Amazon Web Services, Amazon S3, Data Analysis, Audit Trail, Microsoft Azure, Batch Processing, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, Relational Databases, Database Queries, Disaster Recovery, Github, Identity and Access Management, Python (Programming Language), Key Management, Log Analysis, Operational Databases, Performance Tuning, Query Optimization, Aws Command Line Interface (CLI), Runbook, Shell Script, Management of Software Versions, Software Vulnerability Management, Usage Analysis, AWS Cdk, Data Logging, System Availability, Delivery Pipeline, Apache Spark, Software Troubleshooting, AWS Lambda, Amazon Virtual Private Cloud (VPC), Cloudformation, Event Driven Architecture, Data Lakes, Gitlab-ci, Infrastructure Automation Frameworks, Information Technology, Performance Monitor, Data Management, Opsworks, Cloudwatch, Terraform, Data Pipelines, Amazon Elastic Mapreduce (EMR), Jenkins, Amazon Redshift
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/d600f983-49a3-4af8-b065-bf2aa24b7aab

## About the Role

Strong hands-on administration experience with AWS data, analytics, compute, storage, networking, security, and monitoring services.
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Deep understanding of data lake, data warehouse, lakehouse, batch-processing, and streaming architectures.
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Experience administering Amazon Redshift, including workload management, query tuning, distribution and sort strategies, scaling, snapshots, and security.
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Experience with AWS Glue Data Catalog, crawlers, jobs, workflows, and Lake Formation permissions.
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Working knowledge of Apache Spark and Amazon EMR administration, troubleshooting, scaling, and performance tuning.
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Strong knowledge of Amazon S3 bucket policies, lifecycle rules, versioning, replication, encryption, and access controls.
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Proficiency in IAM, KMS, Secrets Manager, VPC, security groups, private endpoints, CloudTrail, CloudWatch, AWS Config, and GuardDuty.
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Experience with Terraform or CloudFormation and CI/CD tools such as AWS CodePipeline, Jenkins, GitHub Actions, Azure DevOps, or GitLab CI/CD.
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Proficiency in Python and Shell scripting for administration, monitoring, deployment, and remediation automation.
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Strong SQL skills and familiarity with relational databases, data modeling, ETL/ELT patterns, and data integration.
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Knowledge of observability, log analytics, backup and disaster recovery, patching, and production support.
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Understanding of cloud cost management, tagging standards, budgets, usage analysis, and resource rightsizing., Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
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7+ years of overall experience in cloud infrastructure, data platform administration, database administration, or data engineering operations.
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At least 4 years of hands-on experience supporting AWS environments, including production data and analytics workloads.
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Demonstrated experience operating highly available, secure, and scalable enterprise platforms.
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Strong troubleshooting, root-cause analysis, documentation, communication, and stakeholder management skills.
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Ability to participate in on-call support and planned maintenance activities when required.

## Description

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Administer and support AWS-based data platforms across development, testing, staging, and production environments.
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Manage AWS services including S3, Redshift, RDS/Aurora, Glue, EMR, Athena, Lake Formation, Kinesis, Lambda, DMS, Step Functions, and CloudWatch.
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Provision and configure cloud resources using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or AWS CDK.
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Implement identity and access controls using IAM roles, policies, permission boundaries, AWS Organizations, and Service Control Policies (SCPs).
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Monitor platform health, capacity, data pipelines, storage, and query performance; proactively identify and resolve issues.
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Manage incidents, problems, changes, releases, and service requests in accordance with SLAs and ITIL practices.
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Optimize Redshift clusters, Spark/EMR workloads, storage tiers, data transfers, and compute consumption for performance and cost efficiency.
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Implement backup, recovery, high availability, business continuity, and disaster recovery controls.
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Secure data using encryption, key management, private networking, secrets management, logging, vulnerability remediation, and least-privilege access.
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Implement data governance through cataloging, lineage, classification, access auditing, retention, and lifecycle management.
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Develop operational automation using Python, Shell scripting, AWS CLI/SDKs, and CI/CD pipelines.
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Maintain platform standards, runbooks, architecture diagrams, configuration records, SOPs, troubleshooting guides, and audit evidence.
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Collaborate with data engineers, architects, security teams, application teams, FinOps, and business stakeholders on onboarding, migrations, upgrades, and capacity planning.
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Provide technical leadership, mentor junior administrators, coordinate vendor support, and drive root-cause analysis and continuous improvement., AWS Cloud Architecture
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AWS Lambda
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Cloud Performance Monitoring
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AWS CloudWatch
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Azure Cloud Monitor
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Testing