AWS Cloud Data Admin -- W2 Profiles -- Hybrid

* 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., AWS Cloud Architecture * AWS Lambda * Cloud Performance Monitoring * AWS CloudWatch * Azure Cloud Monitor * Testing

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., 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.