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phData

Managed data engineering and ML solutions

Business Systems Architect

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Experience with enterprise systems, cloud and hybrid environments, and integration design, including application programming interfaces and software-as-a-service platforms.
  • Experience with enterprise systems such as Salesforce, Certinia, Rippling, and Greenhouse.
  • Ability to troubleshoot complex technical issues.
  • Ability to communicate with technical and non-technical stakeholders.
  • Knowledge of security, governance, and performance optimization.
  • Ability to balance hands-on execution with long-term architectural thinking.
  • At least 8 years of experience in systems, application, or enterprise architecture, or similar roles.
  • Experience designing and delivering enterprise technology solutions.
  • Understanding of infrastructure, system design, and security principles.
  • Ability to partner with cross-functional teams and evaluate technical solutions.
  • Familiarity with architecture frameworks or security and compliance standards.

Responsibilities

  • Convert ambiguous stakeholder needs into prioritized projects with measurable success criteria.
  • Own requirements intake, discovery, process mapping, impact analysis, and scoping for cross-functional business systems initiatives.
  • Finalize solution designs and coordinate end-to-end technical implementation, including test planning, end-user user acceptance testing, defect resolution, deployment, post-deployment validation, and historical data reconciliation.
  • Own ongoing data quality by establishing monitoring, cleansing, validation, migration or backloading, and reconciliation as gaps are identified or data models evolve.
  • Design and maintain enterprise architecture solutions for IT-owned systems and platforms.
  • Lead architecture efforts for moderately complex cross-functional initiatives.
  • Translate business and operational requirements into scalable technical solutions.
  • Define integration approaches across software-as-a-service and cloud platforms.
  • Support artificial intelligence and automation initiatives through architecture guidance and implementation support.
  • Evaluate emerging technologies and provide recommendations aligned with business needs.
  • Ensure architecture solutions align with security, compliance, and governance standards.
  • Collaborate with IT and business teams on solution delivery.
  • Identify opportunities to optimize system performance, scalability, resiliency, and cost.
  • Provide technical mentorship and guidance to team members and project teams.
  • Contribute to architectural standards, documentation, and best practices.
  • Support vendor evaluations and technology selection activities.
  • Govern and administer enterprise platforms, including role-based access controls, license management, and cost optimization.

Desired Qualifications

  • Experience with artificial intelligence, automation, or modernization initiatives.

About the Company

phData

Managed data engineering and ML solutions

phData provides data engineering, data strategy, and machine learning solutions through end-to-end managed services and consulting for enterprises. It delivers cloud data engineering, data migrations, business intelligence, and ML applications by combining data infrastructure automation with analytics and AI strategy in project-based engagements and ongoing support. It differentiates itself by offering full, service-led delivery focused on sustainable data engineering practices and strong customer success, plus its status as an AWS consulting partner with specialized cloud analytics and ML expertise on AWS. Its goal is to help clients turn data into actionable insights and sustainable growth by building scalable data platforms and AI systems guided by clear roadmaps.

Company size
501-1,000
Company stage
Seed
Total funding
$2.5M
Headquarters
Minneapolis, MN
Founded
2014

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