Job Title: Cloud Engineer – AWS & Snowflake

Location: Boston, Massachusetts (MA)
Duration: 6 Months (NO BENEFITS)
Experience Required: 5+ Years in Cloud Database Platforms

Position Overview

We are seeking an experienced Cloud Engineer to support and enhance enterprise cloud data platforms using Amazon Web Services (AWS), Snowflake, and modern data management technologies. The ideal candidate will have strong expertise in cloud infrastructure, database administration, data warehouse platforms, data security, and cloud-based data services.

The Cloud Engineer will be responsible for administering and optimizing cloud data environments, supporting data modernization initiatives, automating data processing workflows, and implementing secure, scalable, and high-performance data solutions. This role requires close collaboration with data engineering, analytics, quality assurance, business analysis, and data management teams.

Key Responsibilities

Cloud Infrastructure & AWS Services

• Design, implement, configure, and support cloud applications and data solutions using AWS.

• Install and configure software and applications within cloud environments.

• Monitor cloud infrastructure performance and implement optimization strategies.

• Support highly available, scalable, secure, and reliable cloud data platforms.

• Evaluate and recommend cloud services for efficient data storage, processing, and integration.

• Troubleshoot infrastructure, connectivity, performance, and application issues.

Snowflake & Database Administration

• Administer, configure, and support Snowflake cloud database environments.

• Manage database access, permissions, security configurations, and operational requirements.

• Support data warehouse applications and cloud database services.

• Optimize SQL queries, database workloads, and data processing performance.

• Develop and maintain SQL and PL/SQL scripts for data management and operational tasks.

• Establish database monitoring, maintenance, and performance assessment procedures.

Cloud Data Services & Platform Support

• Administer and support Informatica Intelligent Cloud Services (IICS) and related data integration workflows.

• Support enterprise data platforms and reporting tools, including Tableau, Cognos, and SAS.

• Manage source control and collaboration using GitHub.

• Support secure file transfers and managed file transfer solutions using MOVEit MFT.

• Implement and maintain data ingestion patterns based on business and technical requirements.

• Support data pipeline optimization, automation, and cloud data modernization initiatives.

• Document technical procedures, operational standards, and platform best practices.

Data Security & Governance

• Manage access requests and permissions for internal and external users.

• Implement authentication, authorization, encryption, and decryption mechanisms.

• Establish and maintain cloud data security policies and access controls.

• Support data governance, privacy, and protection requirements.

• Apply security best practices for sensitive healthcare information.

• Ensure compliance with HIPAA and applicable data privacy requirements.

System Administration & Automation

• Perform Linux shell scripting and automation for operational tasks.

• Support user security, server administration, and application configuration.

• Understand and implement cloud network policies, firewall rules, and connectivity controls.

• Monitor system health, identify operational risks, and implement corrective actions.

• Establish recurring performance reviews and continuous improvement processes.

Collaboration & Operational Support

• Collaborate with data engineers, database administrators, analysts, QA teams, and business stakeholders.

• Translate business and technical requirements into practical cloud data solutions.

• Manage technical requests and provide timely support to internal and external users.

• Communicate system updates, issues, and resolutions clearly.

• Ensure solutions are delivered within agreed timelines and meet business requirements.

Required Technical Skills & Experience

AWS & Cloud Technologies

• 3–5 years of experience implementing and supporting AWS-based data solutions.

• At least 2 years of experience installing and configuring applications using cloud technologies such as AWS or Microsoft Azure.

• Experience with cloud infrastructure, application deployment, monitoring, and troubleshooting.

• Knowledge of cloud networking, security policies, firewall rules, and access management.

Snowflake & Database Administration

• 5+ years of experience with cloud database platforms such as Snowflake.

• 5+ years of database administration and data warehouse application experience in AWS environments.

• Strong SQL and PL/SQL skills.

• Experience with database performance tuning, access management, and operational support.

Cloud Data Services & Tools

• 3+ years of experience with cloud data services and tools such as Informatica Cloud (IICS), AWS, and GitHub.

• Experience administering data integration platforms and supporting data processing pipelines.

• Familiarity with Tableau, Cognos, SAS, and MOVEit MFT.

• Understanding of data ingestion, transformation, integration, and automation patterns.

Security & System Administration

• Experience with Linux shell scripting, user security, and server administration.

• Knowledge of data encryption and decryption methodologies.

• Experience implementing authentication, authorization, and access control mechanisms.

• Familiarity with healthcare data security, HIPAA, and sensitive information handling.

Professional Skills

• Strong analytical and troubleshooting abilities.

• Excellent written and verbal communication skills.

• Strong organizational and documentation skills.

• Ability to work independently and collaborate with cross-functional teams.

• Strong ownership of technical tasks, issue resolution, and project deliverables.

Preferred Qualifications

• AWS certification.

• Snowflake certification.

• Experience supporting healthcare data platforms or other environments containing sensitive information.

• Experience with enterprise data modernization, cloud data governance, and data pipeline optimization.

• Familiarity with cloud-based analytics and business intelligence platforms.