Data Architect

Description

ExxonMobil’s Upstream Data Office has a mission to develop Upstream enterprise data products in support of the Upstream business strategies to treat data as an asset to maximize business value. The Data Architect will work closely with other Data Architects, IT Platform Architects, subject matter experts (SMEs), data engineers, and developers to contribute to the design of data products and consult with Upstream projects to ensure data architecture is aligned with enterprise data principles and standards.  The data architect will work with business contacts in the Product Optimization team and focus on data within this domain.

Responsibilities

• The UDO Data Architect – Production Optimization will work towards building and/or providing knowledge in support of the overall Upstream Data Office mission and data strategy. To achieve these goals, the Data Architect will be required to analyze current state data architectures and conceive desired future state data architectures, and identify activities needed to close the gap to achieve the future state within Production Optimization. Some examples of these activities/deliverables are:
• Develop and maintain UDO conceptual and logical data models, type 2 dimensional models, data flow diagrams, and conceptual data architecture designs in support of the Production Optimization Business Capability which includes production volumes and production revenue accounting processes and terms.
• Collaborate with Data and IT Architects in defining UDO architectural standards by developing UDO Architectural Decision Records (ADRs)
• Provide data architectural and modeling support, guidance, and mentorship to data engineering product teams to ensure they can successfully deliver, support, and where applicable standardize data products
• Partner with IT to ensure Upstream Data Foundation Data Platforms and related tooling satisfies UDO’s business needs
• Work with Data Governance teams to ensure business glossaries, data dictionaries, and data catalogs are created and maintained
• Drive strategies/approaches and principles for data management (including master/reference data and identification of key data domains, data governance framework, data integration, etc.)
• Ensure data architecture of solutions delivered by data engineering teams supports proper data security, retention, and classification and is aligned with existing data architectural standards, data models, and data flows
• Partner with data product owners, data engineers, business SMEs, data stewards, data custodians, and data governance groups to support business data needs
• Lead assessments of business/data requirements for Upstream projects to validate that overall design adheres to key data architecture standards and principles
• As part of delivering data products, partner with Upstream Capability business SMEs, data stewards, and/or data custodians to design and contribute data models to industry standards organizations