Platform Engineer, Data & Analytics Platforms

• →Support the administration and day-to-day operation of enterprise analytics and data platforms, including Alteryx, Microsoft Fabric, and Power BI
• →Help manage user access, roles, permissions, workspace or platform configuration, and related governance processes
• →Monitor platform health, performance, usage, capacity, refreshes, scheduled workloads, and recurring operational risks
• →Support upgrades, patches, maintenance, releases, and approved platform changes through established change-control processes
• →Investigate platform issues, gather the right technical information, and coordinate effectively with L3 support teams and software vendors
• →Help initiate and track software packaging, deployment, release, and platform-change activity
• →Maintain clear documentation, runbooks, knowledge articles, support procedures, and escalation paths
• →Identify repeat issues and contribute to automation, reliability, observability, and operational-improvement work
• →Work within a US client’s delivery cadence: tickets, standups, planning, risk reviews, status updates, and delivery deadlines
• →Communicate clearly in English with engineers, platform owners, support teams, vendors, and business stakeholders

These are the baseline requirements for this role.

• 2-4 years of professional experience in platform engineering, infrastructure, enterprise application support, data engineering, analytics operations, or a closely related technical role
• Hands-on experience supporting, administering, or operating a production technology platform - not only developing against it
• Experience with at least one of the following:
  
  • Alteryx Server or related analytics-platform administration
  • Microsoft Fabric or Power BI administration
  • Cloud, data-platform, infrastructure, or enterprise application operations
• Practical understanding of user access, permissions, RBAC, identity, or enterprise governance processes
• Experience investigating issues, following support procedures, and escalating clearly to more senior technical teams or vendors
• Comfortable working with tickets, documentation, checklists, and operational priorities
• Strong written and spoken English
• Able to work independently, ask good questions, communicate blockers early, and follow through reliably

You do not need every item below. Strong candidates will have depth insome of these areas and the ability to learn the rest

• Alteryx Server: Gallery, Controller, Workers, user administration, licensing, upgrades, or monitoring
• Microsoft Power BI or Fabric: workspaces, capacities, gateways, refreshes, tenant settings, deployment pipelines, or governance
• Azure, AWS, cloud infrastructure, or data-platform services
• SQL Server, PostgreSQL, or relational database administration
• Monitoring, observability, incident management, or operational reporting
• PowerShell, Python, APIs, scripting, or automation
• ITSM tools, change management, release coordination, or enterprise support processes
• Docker, CI/CD, software deployment, or package-management workflows
• Data pipelines, data quality, reporting platforms, or analytics operations

Within your first months on a client team, you can:

• Take ownership of defined platform-support work without needing constant direction
• Explain the health, risks, current priorities, and open issues of the platform work you support
• Handle routine administration, access requests, monitoring, and incident coordination reliably
• Work within governance, security, access, and change-management expectations
• Escalate issues with the right evidence, context, and urgency
• Keep documentation and handoffs clean enough that others can operate from them
• Earn trust through consistency, good judgment, and follow-through

I is part of modern technology delivery at Primeforge. We use it to move faster: exploring unfamiliar systems, drafting documentation and runbooks, analysing logs, generating implementation options, accelerating troubleshooting, and reducing repetitive work.

AI does not replace engineering judgment.

You are still responsible for understanding the systems you work in, validating output, protecting client information, following approved change processes, and standing behind the work you deliver. Strong platform engineers use AI to improve their leverage, not to avoid thinking.