IT Consultant - Cloud Specialist L2

• Lead the architecture, design, and implementation of scalable AWS-based data platforms.
• Provide technical leadership, guidance, and mentorship to data engineering teams.
• Establish engineering standards, coding best practices, and CI/CD development methodologies.
• Conduct architecture reviews, code reviews, and technical governance activities.
• Drive continuous improvement in engineering quality, operational excellence, and platform reliability.
• Support technical decision-making and ensure alignment with enterprise architecture standards., * Design, develop, and maintain cloud-native data ingestion, transformation, and orchestration solutions on AWS.
• Build and support ETL/ELT pipelines using AWS Glue.
• Develop serverless applications and data processing solutions using AWS Lambda.
• Design and implement workflow orchestration using AWS Step Functions.
• Build and manage enterprise data lake solutions utilizing Apache Iceberg on Amazon S3.
• Enable efficient data access patterns through services such as Amazon Athena and Amazon Redshift., * Architect highly available, secure, scalable, and cost-efficient cloud solutions.
• Design event-driven and microservices-based architectures.
• Develop integration patterns leveraging APIs, messaging platforms, and AWS-native services.
• Optimize platform performance, resilience, and operational efficiency.
• Ensure solutions follow AWS security, governance, and compliance best practices., * Implement metadata management, schema evolution, partitioning strategies, and data lifecycle controls.
• Leverage Apache Iceberg capabilities including time travel, compaction, and transactional data management.
• Support large-scale batch and near real-time data processing requirements.
• Ensure data quality, governance, observability, and security controls are implemented across the platform.
• Partner with stakeholders to evolve data platform capabilities and roadmap initiatives., * Implement Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
• Develop and maintain automated CI/CD pipelines utilizing GitHub Actions, Jenkins, or AWS CodePipeline.
• Automate deployment, testing, monitoring, and operational processes.
• Implement observability and monitoring solutions using AWS CloudWatch and operational dashboards.
• Support production operations, incident resolution, and platform reliability initiatives., * Collaborate closely with Product Owners, Architects, Business Analysts, and Technology teams.
• Translate business requirements into scalable technical solutions.
• Manage project dependencies, technical risks, and delivery timelines.
• Communicate architectural decisions, technical recommendations, and project status to stakeholders.
• Drive successful project execution while maintaining high engineering standards., * AWS Glue
• AWS Lambda
• AWS Step Functions
• Amazon S3
• Amazon Athena
• Amazon Redshift
• AWS IAM
• AWS CloudWatch
• Amazon EventBridge
• Amazon SNS
• Amazon SQS
• AWS Secrets Manager
• AWS Lake Formation

Data Engineering

• Enterprise Data Lake Architecture
• Apache Iceberg
• ETL/ELT Frameworks
• Data Ingestion and Transformation
• Schema Evolution
• Data Partitioning Strategies
• Data Compaction
• Time Travel Concepts
• Metadata Management

Programming

• Python
• PySpark
• SQL
• Shell Scripting

Cloud Architecture

• Serverless Architecture
• Event-Driven Design
• Microservices Architecture
• API Integration
• Data Lake Architecture

DevOps

• Terraform
• AWS CloudFormation
• AWS CDK
• GitHub Actions
• Jenkins
• AWS CodePipeline
• CI/CD Pipeline Development
• Automated Testing

We are seeking an experienced AWS Engineering Lead to design, develop, and lead enterprise-scale cloud-native data platforms on AWS. The ideal candidate will possess deep expertise in AWS data engineering services, modern data lake architectures, Apache Iceberg, and cloud-native development practices. This individual will provide technical leadership to engineering teams, define architecture standards, and deliver scalable, secure, and high-performing data solutions that support enterprise data and analytics initiatives., * Extensive experience designing and delivering enterprise-scale AWS data platforms.

• Demonstrated experience leading engineering teams and technical initiatives.
• Strong understanding of modern cloud-native architecture principles and best practices.
• Experience designing and implementing large-scale enterprise data lakes.
• Expertise in data integration, transformation, and orchestration patterns.
• Strong problem-solving, communication, and stakeholder management skills.
• Experience working in Agile delivery environments.

The pay range that the employer in good faith reasonably expects to pay for this position is $43.60/hour - $68.13/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.