AWS Cloud Data Admin -- W2 Profiles -- Hybrid

Job Title: AWS Cloud Data Platform Administrator
Location: Raritan, NJ
Work Model: Onsite – 4 Days a Week
Key Responsibilities

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

Required Technical Skills

• Strong hands-on administration experience with AWS data, analytics, compute, storage, networking, security, and monitoring services.
• Deep understanding of data lake, data warehouse, lakehouse, batch-processing, and streaming architectures.
• Experience administering Amazon Redshift, including workload management, query tuning, distribution and sort strategies, scaling, snapshots, and security.
• Experience with AWS Glue Data Catalog, crawlers, jobs, workflows, and Lake Formation permissions.
• Working knowledge of Apache Spark and Amazon EMR administration, troubleshooting, scaling, and performance tuning.
• Strong knowledge of Amazon S3 bucket policies, lifecycle rules, versioning, replication, encryption, and access controls.
• Proficiency in IAM, KMS, Secrets Manager, VPC, security groups, private endpoints, CloudTrail, CloudWatch, AWS Config, and GuardDuty.
• Experience with Terraform or CloudFormation and CI/CD tools such as AWS CodePipeline, Jenkins, GitHub Actions, Azure DevOps, or GitLab CI/CD.
• Proficiency in Python and Shell scripting for administration, monitoring, deployment, and remediation automation.
• Strong SQL skills and familiarity with relational databases, data modeling, ETL/ELT patterns, and data integration.
• Knowledge of observability, log analytics, backup and disaster recovery, patching, and production support.
• Understanding of cloud cost management, tagging standards, budgets, usage analysis, and resource rightsizing.

Mandatory Skills

• AWS EC2
• AWS EKS
• AWS Glue
• AWS S3
• AWS VPC

Good-to-Have Skills

• AWS Cloud Architecture
• AWS Lambda
• Cloud Performance Monitoring
• AWS CloudWatch
• Azure Cloud Monitor
• Testing

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 7+ years of overall experience in cloud infrastructure, data platform administration, database administration, or data engineering operations.
• At least 4 years of hands-on experience supporting AWS environments, including production data and analytics workloads.
• Demonstrated experience operating highly available, secure, and scalable enterprise platforms.
• Strong troubleshooting, root-cause analysis, documentation, communication, and stakeholder management skills.
• Ability to participate in on-call support and planned maintenance activities when required.

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Data Engineer