Data Architect

Integrated Resources, Inc ( IRI ); United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Integrated Resources, Inc ( IRI ) is seeking an experienced Data Architect / Data Engineer with 5+ years of experience in data engineering and architecture. The role focuses on Python, SQL, APIs, Terraform, structured data, and Tableau dashboards to support reporting and analytics.

You will work across data architecture, engineering and API integration, build Terraform infrastructure, create Tableau visualizations, and provide production and operational support while collaborating with

Qualifications

• 5+ years of professional experience in Data Engineering or Data Architecture.
• Strong proficiency in Python.
• Strong SQL skills and experience with relational/structured data.
• Experience designing and working with APIs.
• Experience with Terraform and data visualization.

Responsibilities

• Design, develop, and maintain scalable data architectures and data engineering solutions.
• Develop and optimize data pipelines using Python and SQL.
• Work with structured data to ensure data quality, reliability, and accessibility.
• Design, develop, and integrate APIs to support data needs.
• Build Terraform infrastructure from scratch and manage IaC.
• Develop and maintain Tableau dashboards for business reporting.

Skills

Python

SQL

APIs

Tableau

Data Architecture

Terraform

Tools

Terraform

Tableau

SQL

Python

Job description

We are seeking an experienced Data Architect / Data Engineer with 5+ years of experience in data engineering and architecture. The ideal candidate will have strong expertise in Python, SQL, APIs, Terraform, structured data, and Tableau dashboards, along with experience providing operational and production support.

The candidate should be comfortable working across data architecture, engineering, infrastructure automation, API integration, and dashboarding initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data architectures and data engineering solutions.
• Develop and optimize data pipelines using Python and SQL.
• Work with structured data and ensure data quality, reliability, and accessibility.
• Design, develop, and integrate APIs to support data and application requirements.
• Build and manage Terraform infrastructure from scratch, including infrastructure-as-code implementations.
• Develop and maintain Tableau dashboards and data visualizations to support business reporting and analytics.
• Provide production and operational support for data platforms and applications.
• Troubleshoot data, API, infrastructure, and application-related issues.
• Collaborate with architects, developers, analysts, and business stakeholders to understand requirements and deliver effective solutions.
• Follow best practices for data security, scalability, performance, and maintainability.

Required Qualifications

• 5+ years of professional experience in Data Engineering, Data Architecture, or a related field.
• Strong hands-on experience with Python.
• Strong proficiency in SQL and relational/structured data.
• Strong experience designing and working with APIs.
• Hands-on experience with Terraform, preferably building infrastructure from scratch.
• Experience with Tableau dashboards and data visualization.
• Experience supporting production environments and operational activities.
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience with cloud-based data platforms and infrastructure.
• Experience with data pipeline development and ETL/ELT processes.
• Knowledge of data architecture and data modeling.
• Experience working in Agile development environments.
• Ability to work independently while collaborating effectively with cross-functional teams.