AWS Data Cloud Consultant (Remote - US)

This position is posted by Jobgether on behalf of Vertical Relevance. We are currently looking for an AWS Data Cloud Consultant in United States.

In this role, you will play a key part in designing and delivering advanced cloud-based data solutions that power business transformation. You will collaborate with clients to guide their cloud adoption journey, architect scalable data lake environments, and implement robust data governance and quality frameworks. Working in a highly collaborative and innovation-driven environment, you will leverage cutting-edge AWS technologies to build secure, high-performance data ecosystems. This is an opportunity to drive meaningful business outcomes, influence strategic decisions, and contribute to the success of large-scale cloud transformations.

Accountabilities

• Lead the planning, design, and implementation of data solutions on AWS, including data lake architectures and ingestion frameworks.
• Provide technical and strategic guidance to customers throughout their cloud adoption journey.
• Design and develop data quality and governance solutions, ensuring best practices for data storage, cataloging, and lifecycle management.
• Build and automate data pipelines for ingestion, transformation, and serving, using AWS native tools and services.
• Deliver high-quality technical content such as reference architectures, white papers, and automation scripts to support client initiatives.
• Collaborate with cross-functional teams, translating complex technical concepts into actionable strategies and solutions.
• Support solution development by gathering customer feedback and sharing implementation challenges to drive product and service improvements.

Requirements

• Proven experience designing and deploying data or DevOps solutions built on AWS in customer-facing environments.
• Strong knowledge of data lake architectures, big data lambda architectures, and orchestration frameworks.
• Proficiency with key AWS services including S3, Glue, EMR, Athena, Redshift, Kinesis, Step Functions, Lambda, and CloudFormation.
• Hands-on expertise with Apache Iceberg, SageMaker (Lakehouse, Catalog), Terraform, and experience with tools such as Airflow, Kafka, Parquet, Spark, Metaflow, and Hadoop.
• Solid programming skills in Python and experience with data ingestion, orchestration, and cataloging solutions.
• Strong communication, problem-solving, organizational, and collaboration skills with the ability to work across diverse technical and business teams.
• Legally authorized to work in the United States without the need for employer sponsorship.

Benefits

• Competitive salary package aligned with experience and skills.
• Fully remote work arrangement with flexible scheduling.
• Opportunity to work on innovative cloud transformation projects using the latest AWS technologies.
• Professional growth and learning opportunities through collaboration with industry experts.
• Inclusive and supportive work environment that values diversity and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!