ETRM Data Architect: Trade Lifecycle & Data Strategy

Programmers.io

Houston (TX)

Sur place

USD 170 000 - 210 000

Plein temps

Il y a 6 jours
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Résumé du poste

Programmers.io is seeking an experienced ETRM Data Architect to support a strategic data transformation program in the energy trading domain. The role requires deep expertise in SolArc RightAngle, Endur, and other COTS trading platforms, with a strong emphasis on data architecture, governance, and product data requirements.

You will begin with debt analysis and lifecycle mapping, then drive data strategy, governance, and future-state architecture across the data landscape.

Qualifications

  • 7–10+ years of experience in ETRM business analysis, data architecture, data strategy, or trading technology transformation.
  • Experience with SolArc RightAngle and/or Endur; familiarity with other commodity trading platforms.
  • Strong understanding of energy and commodity trading processes: trade capture, scheduling, logistics, terminals, inventory, risk, P&L, settlements.

Responsabilités

  • Lead functional debt analysis and application rationalization efforts.
  • Map trade lifecycles and align data flows to business processes.
  • Define data grain, structures, ownership, stewardship, and data quality requirements.
  • Facilitate workshops and obtain sign-off from stakeholders on recommendations.

Connaissances

ETRM expertise
Stakeholder management
Workshop facilitation
Data governance
Data quality
Data modeling

Outils

SolArc RightAngle
Endur
SAP
COTS Energy & Commodity Trading platforms

Description du poste

Programmers.io is seeking an experienced ETRM Data Architect to support a strategic data transformation program in the energy trading domain. The role requires deep expertise in SolArc RightAngle, Endur, and other COTS trading platforms, with a strong emphasis on data architecture, governance, and product data requirements.

You will begin with debt analysis and lifecycle mapping, then drive data strategy, governance, and future-state architecture across the data landscape.

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