Cloud Data Architect

Arbor Research Collaborative for Health

Cloud Data Architect designing AWS data platforms for Arbor Research Collaborative for Health. Implementing data governance and supporting analytics workloads with a focus on security and compliance.

Posted 7/31/2026full-timeRemote • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $107,000 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AWS-based data platforms, ensuring data governance and security while optimizing performance and cost-efficiency. Proficient in collaborating with cross-functional teams to deliver data-driven solutions and provide technical mentorship.

Highest-signal resume keywords

AWS Data Platform DesignData Governance ImplementationSQL ProficiencyDevSecOps PracticesAWS Certified Data Analytics – Specialty

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS S3AWS GlueAWS RedshiftAWS CloudFormationSQLPythonData Lakehouse DesignETL OrchestrationInfrastructure-as-CodeSchema Management

Soft Skills

Problem-SolvingCollaborationIndependent Work

Tools & Technologies

AWS IAMAWS KMSAWS CloudWatchData Analytics DashboardsBI Tools

Certifications & Qualifications

AWS Certified Data Analytics – SpecialtyAWS Certified Solutions Architect

Industry Keywords

Cloud Security StandardsData GovernanceCompliance FrameworksCost-Efficient InfrastructureAutomated Data Delivery

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Design and build AWS-based data platforms, including data lakes and analytics environments using services such as S3, Glue, Athena, Redshift, and Lake Formation.
Architect secure, cost-efficient cloud infrastructure using IAM, KMS, CloudWatch, and related services.
Implement data governance, security controls, and compliance frameworks consistent with appropriate requirements / standards.
Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making.
Enable secure, automated delivery of curated data to BI and decision-making dashboards using modern DevSecOps practices.
Monitor system performance, automate scaling, and ensure high availability and resilience of the data environment.
Optimize data storage and query performance, balancing cost and efficiency across environments.
Support user access, permissions management, and data sharing models between internal and external collaborators.
Develop infrastructure-as-code templates and maintain documentation for deployment and configuration.
Provide technical mentorship to data and software engineering teams regarding AWS best practices and architecture patterns.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
5+ years of experience designing and implementing data solutions in AWS.
Proficiency in AWS services such as S3, Glue, Lambda, Redshift, CloudFormation, and IAM.
Strong experience with SQL and at least one scripting language (Python preferred).
Experience with data lakehouse design patterns, schema management, and ETL orchestration tools.
Familiarity with DevSecOps principles and cloud security standards.
Strong problem-solving skills and ability to work independently or within multidisciplinary teams.
AWS Certified Data Analytics – Specialty, or AWS Certified Solutions Architect preferred.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Arbor Research Collaborative for Health Website LinkedIn All Job Openings 51 - 200 employees Founded 1997 🏥 Healthcare 💼 Consulting 📦 Logistics Healthcare
Consulting
Logistics Arbor Research Collaborative for Health is a nonprofit health services research and technology organization that conducts real-world evidence generation, clinical and policy research, and develops health IT and data platforms to inform healthcare policy, clinical quality, and patient outcomes. It partners with government agencies (including HHS, CMS, NIH), foundations, and private-sector clients to provide data coordinating center services, disease and treatment registries, clinical trial research, mixed-methods evaluation, and health IT modernization using cloud, AI, and modern development practices. Cloud Data Architect Job not on LinkedIn 🔥 12 minutes ago 🚗 Michigan – Remote 💵 $107k - $176k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior ☁️ Cloud Engineer Amazon Redshift AWS Cloud ETL Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and build AWS-based data platforms, including data lakes and analytics environments using services such as S3, Glue, Athena, Redshift, and Lake Formation.
Architect secure, cost-efficient cloud infrastructure using IAM, KMS, CloudWatch, and related services.
Implement data governance, security controls, and compliance frameworks consistent with appropriate requirements / standards.
Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making.
Enable secure, automated delivery of curated data to BI and decision-making dashboards using modern DevSecOps practices.
Monitor system performance, automate scaling, and ensure high availability and resilience of the data environment.
Optimize data storage and query performance, balancing cost and efficiency across environments.
Support user access, permissions management, and data sharing models between internal and external collaborators.
Develop infrastructure-as-code templates and maintain documentation for deployment and configuration.
Provide technical mentorship to data and software engineering teams regarding AWS best practices and architecture patterns. 🎯 Requirements
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
5+ years of experience designing and implementing data solutions in AWS.
Proficiency in AWS services such as S3, Glue, Lambda, Redshift, CloudFormation, and IAM.
Strong experience with SQL and at least one scripting language (Python preferred).
Experience with data lakehouse design patterns, schema management, and ETL orchestration tools.
Familiarity with DevSecOps principles and cloud security standards.
Strong problem-solving skills and ability to work independently or within multidisciplinary teams.
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