Data Architect (Snowflake / dbt / AWS)

FutureTech Consultants LLC
Arizona City, AZ, United States
8 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Application Frameworks Cloud Computing Code Review Continuous Integration Data Architecture Data Infrastructure Extract Transform Load (ETL) DevOps Dimensional Modeling Github Monitoring of Systems
+20 more
Python (Programming Language) Machine Learning Microsoft SQL Server Software Architecture Runbook Software Deployment Software Engineering Web Applications Scripting Cloud Platform System Informatica Powercenter Snowflake Data Layers Build Management Star Schema Data Management Machine Learning Operations Streamlit Framework Terraform Data Pipelines

Job description

Snowflake, dbt-core, Streamlit, AWS, Terraform, GitHub, GitHub Actions, CI/CD, Python, SQL Server, Informatica PowerCenter/IICS. Equivalent experience with comparable tools and platforms will also be considered.

Hiring Manager Notes:

  • Streamlit is a big plus, please look for it in addition to the rest of the tech stack
  • Depth and Breadth, CI/CD and hands-on as well as strategic
  • Snowflake, DBT, IICS, AWS, Terraform, Python
  • Looking for more Solutions Architecture experience, Supporting large-scale modernization initiative for our Revenue Management & Pricing Analytics platform., * We are seeking a Senior Architect to help lead a large-scale modernization initiative for our Revenue Management & Pricing Analytics platform.
  • This role will support legacy system migrations to dbt-core and Snowflake, modernization of legacy tooling into modern web applications, and restructuring existing dbt models into a medallion architecture.
  • The Senior Architect will design solutions aligned with enterprise data architecture standards and help define new patterns where standards need to evolve.
  • This is a hands-on technical leadership role focused on building scalable infrastructure, data pipelines, deployment patterns, and reusable frameworks that can be adopted across the broader organization.

Principle Responsibilities:

  • Solution Architecture: Design end-to-end technical solutions for the platform modernization initiative, ensuring alignment with enterprise data architecture standards.
  • Standards and Governance: Apply existing architecture standards where appropriate and define new patterns where gaps exist, such as Streamlit application deployment and CI/CD practices.
  • Cloud and Infrastructure as Code: Design and build modular, multi-environment AWS infrastructure using Terraform to support computing, storage, and orchestration needs.
  • CI/CD Engineering: Build and maintain reusable, secure deployment pipelines using GitHub Actions for data pipelines and application deployments.
  • Monitoring & Observability: Design monitoring, auditing, and alerting mechanisms across the pipeline and infrastructure to ensure reliability, traceability, and rapid issue detection.
  • Data Platform Modernization: Lead the technical approach for migrating legacy processes and Informatica PowerCenter/IICS to dbt-core and Snowflake while restructuring models into bronze, silver, and gold layers.
  • Documentation: Maintain clear architecture diagrams, design decisions, runbooks, and technical documentation for the platform, ensuring knowledge is accessible and current for engineers and stakeholders.
  • Technical Leadership: Review code and pull requests, participate in daily meetings, sprint ceremonies and shape deliverables, and serve as a technical escalation point across the modernization initiative.

Requirements

  • 5+ years of experience in a senior data or software architecture role, with production experience across cloud infrastructure, data platforms, and application development.
  • 5+ years of experience with legacy ETL/ELT platforms such as Informatica PowerCenter or IICS, with the ability to analyze & translate existing mappings/workflows.
  • Strong hands-on experience with building/supporting dbt-core and Snowflake
  • Experience with building components for medallion architecture, including bronze, silver, and gold data layers.
  • Proficiency in Python, with experience building or supporting web applications such as Streamlit.
  • Strong hands-on experience with Infrastructure as Code for modular, multi-environment cloud infrastructure.
  • Experience with CI/CD platforms and modern DevOps practices.

Nice to have / bonus skills (not mandatory):

  • Understanding machine learning concepts and how ML workflows integrate with data platforms.
  • Experience with data product design and delivery, including treating datasets and pipelines as consumable products.
  • Data modeling skills beyond medallion architecture layers, including dimensional modeling and star schema design.
  • Knowledge of R scripting, Snowflake/AWS certifications.

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