AWS Data Cloud Consultant (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AWS Data Cloud Consultant in the United States.

In this role, you will guide organizations in designing, building, and implementing advanced cloud-based data solutions on AWS. You will work closely with clients to define their cloud strategy, develop scalable data lakes, and implement governance and orchestration frameworks that ensure data quality, security, and operational efficiency. The role requires hands-on expertise with AWS technologies, data pipelines, and storage solutions, combined with strong consulting skills to translate technical designs into actionable business outcomes. You will act as a trusted advisor, supporting clients throughout their cloud journey, while contributing to best practices, technical content, and innovative approaches. This position offers the opportunity to work in a fast-paced, collaborative environment, driving measurable impact on client success.

Accountabilities:

• Consult with clients to define and execute their cloud data strategies, providing both technical and strategic guidance.
• Design and implement AWS Data Lakes, ensuring proper architecture for ingestion, storage, processing, and serving of data.
• Develop data quality, governance, and orchestration frameworks to maintain robust and reliable pipelines.
• Build reusable ingestion and orchestration frameworks to support scalable cloud data solutions.
• Provide best practices and guidance on AWS services including S3, Lambda, Glue, EMR, Kinesis, Redshift, and other relevant technologies.
• Create technical content, reference architectures, automation tools, and white papers to enable client success.
• Assist in documenting solutions, capturing client feedback, and influencing future product and service offerings.
• Support internal and external thought leadership initiatives including case studies, blogs, and technical briefs.

Requirements

• Professional experience architecting and operating Data or DevOps solutions on AWS.
• Hands-on experience with Python and AWS services such as S3, Lambda, Redshift, Athena, Glue, EMR, Kinesis, Step Functions, and CloudFormation.
• Familiarity with orchestration, monitoring, logging, alerting, and error-handling frameworks in cloud environments.
• Knowledge of AWS Data Lake, SageMaker Lakehouse, Terraform, and related tools.
• Strong problem-solving skills, attention to detail, and the ability to work independently or in a team.
• Excellent communication and client-facing consulting skills.
• Legal authorization to work in the United States without employer sponsorship.
• Preferred experience with DataBricks, Snowflake, Apache Iceberg, and advanced cloud analytics solutions.

Benefits

• Competitive salary and benefits package.
• Fully remote work with flexible scheduling.
• Opportunities to work on innovative AWS cloud projects for diverse clients.
• Access to professional development, training, and mentorship programs.
• Exposure to cutting-edge data engineering and cloud technologies.

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 three 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!

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