Data Architect

POSITION OVERVIEW

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

• Bachelor’s degree in Computer Science, Engineering, or a related discipline (Master’s 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)