MetroSys Inc
A Technology Company. A People Company.
MetroSys is a San Diego based company that specializes in I.T. Professional Services, Staffing & Recruiting for some of the largest companies around the globe.We offer a competeitve salary and benefits package to all of our full time employees.
Great people. Great Company. Great Culture.
Work-life balance? Yes! Work hard, play hard. At MetroSys we believe its important that we enjoy what we do.Over the course of the founders careers, they have worked for some of the best companies in the world and there were three key elements that crystalized: Commitment to the customer Belief in the product Impact of company culture
At MetroSys, we believe these three items are necessary for our success. MetroSys has carefully crafted its team of highly skilled talent by not only hiring industry experts, but by selecting people that share our view on company culture. Our core values include teamwork, integrity, accountability, & embracing diversity.
Think you have what it takes to join our team? Apply Today!
MetroSys is seeking a seasoned
Data Architect
to lead the design, implementation, and optimization of scalable, high-performance data systems. Reporting directly to the CTO, this individual will set strategic architectural standards, align technical solutions with business objectives, and provide mentorship to our growing team of data engineers. The ideal candidate brings deep expertise in data modeling, cloud-native architectures, and experience working with AWS technologies such as
Redshift, Athena, DynamoDB , and visualization tools like
Tableau . Experience with AI/ML data enablement and large language models (LLMs) is highly desired. KEY RESPONSIBILITIES
AI/ML Infrastructure Enablement Architect and maintain AI-ready data environments using Amazon Bedrock for LLM integration (Claude, Llama, Titan, etc.). Develop secure and compliant pipelines for prompt engineering and model fine-tuning. Data Architecture & Modeling Design and optimize data systems using both SQL and NoSQL paradigms (e.g., DynamoDB). Ensure data is structured to support real-time and batch inference workflows. Cloud Data Platforms Architect solutions using AWS services including Redshift, Athena, Lambda, and S3 for efficient storage, processing, and analytics workflows. ETL and Data Integration Build and manage robust ETL pipelines with AWS Glue, Step Functions, and other modern orchestration tools. Data Visualization & Reporting Prepare data for dashboards and reporting solutions using Tableau or similar BI platforms. Infrastructure as Code (IaC) Use CloudFormation or Terraform to define and manage reusable data infrastructure components. Security & Compliance Ensure all data architectures adhere to privacy laws (GDPR, CCPA) and implement industry best practices for encryption and access control. Performance & Reliability Monitor and troubleshoot system performance issues, identifying improvements for reliability and scalability. Collaboration & Mentorship Work closely with product owners, engineers, and stakeholders. Provide technical leadership and mentorship to junior team members. REQUIRED QUALIFICATIONS
Bachelors degree in Computer Science, Engineering, or a related discipline (Masters preferred) Minimum 8 years of software or data engineering experience, with 3+ in an architectural capacity Strong knowledge of data modeling and optimization for OLTP and OLAP systems Hands-on experience with AWS data tools: Redshift, Athena, DynamoDB, S3 Prior work with generative AI/LLM environments (Amazon Bedrock, SageMaker, etc.) Experience building secure, scalable data pipelines Familiar with compliance and security standards relevant to data (e.g., CCPA, GDPR) We've received your resume. Click here to update it. Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) orPaste resume #J-18808-Ljbffr
Great people. Great Company. Great Culture.
Work-life balance? Yes! Work hard, play hard. At MetroSys we believe its important that we enjoy what we do.Over the course of the founders careers, they have worked for some of the best companies in the world and there were three key elements that crystalized: Commitment to the customer Belief in the product Impact of company culture
At MetroSys, we believe these three items are necessary for our success. MetroSys has carefully crafted its team of highly skilled talent by not only hiring industry experts, but by selecting people that share our view on company culture. Our core values include teamwork, integrity, accountability, & embracing diversity.
Think you have what it takes to join our team? Apply Today!
MetroSys is seeking a seasoned
Data Architect
to lead the design, implementation, and optimization of scalable, high-performance data systems. Reporting directly to the CTO, this individual will set strategic architectural standards, align technical solutions with business objectives, and provide mentorship to our growing team of data engineers. The ideal candidate brings deep expertise in data modeling, cloud-native architectures, and experience working with AWS technologies such as
Redshift, Athena, DynamoDB , and visualization tools like
Tableau . Experience with AI/ML data enablement and large language models (LLMs) is highly desired. KEY RESPONSIBILITIES
AI/ML Infrastructure Enablement Architect and maintain AI-ready data environments using Amazon Bedrock for LLM integration (Claude, Llama, Titan, etc.). Develop secure and compliant pipelines for prompt engineering and model fine-tuning. Data Architecture & Modeling Design and optimize data systems using both SQL and NoSQL paradigms (e.g., DynamoDB). Ensure data is structured to support real-time and batch inference workflows. Cloud Data Platforms Architect solutions using AWS services including Redshift, Athena, Lambda, and S3 for efficient storage, processing, and analytics workflows. ETL and Data Integration Build and manage robust ETL pipelines with AWS Glue, Step Functions, and other modern orchestration tools. Data Visualization & Reporting Prepare data for dashboards and reporting solutions using Tableau or similar BI platforms. Infrastructure as Code (IaC) Use CloudFormation or Terraform to define and manage reusable data infrastructure components. Security & Compliance Ensure all data architectures adhere to privacy laws (GDPR, CCPA) and implement industry best practices for encryption and access control. Performance & Reliability Monitor and troubleshoot system performance issues, identifying improvements for reliability and scalability. Collaboration & Mentorship Work closely with product owners, engineers, and stakeholders. Provide technical leadership and mentorship to junior team members. REQUIRED QUALIFICATIONS
Bachelors degree in Computer Science, Engineering, or a related discipline (Masters preferred) Minimum 8 years of software or data engineering experience, with 3+ in an architectural capacity Strong knowledge of data modeling and optimization for OLTP and OLAP systems Hands-on experience with AWS data tools: Redshift, Athena, DynamoDB, S3 Prior work with generative AI/LLM environments (Amazon Bedrock, SageMaker, etc.) Experience building secure, scalable data pipelines Familiar with compliance and security standards relevant to data (e.g., CCPA, GDPR) We've received your resume. Click here to update it. Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) orPaste resume #J-18808-Ljbffr