What are the responsibilities and job description for the Data Modeler position at NLB Services?
Job Title: Data Modeler / Data Architect – Production Optimization
Location: Spring, TX - 77389
Job Type: 12 Months (Long Term Contract)
Job Role Summary:
Client 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 contact in the Product Optimization team and focus on data within this domain.
Job Requirements:
Master's or Bachelor's degree in business, computer science, engineering, systems analysis or a related field
Minimum 3 years of experience in data design/architecture and strong willingness to continue learning
Minimum 3 years of experience in Upstream Oil and Gas – Production Optimization, Production Volumes, and Production Revenue Accounting
Recent experience developing reference data architecture, data modeling (conceptual, logical, physical, and Type 2 Dimensional Modelling), data profiling, data quality analysis, building business data glossaries and data catalogs
Knowledge regarding data governance and master/reference data management programs
Experience using Snowflake, SQL query language and E/R Studio data modeling tool
Able to design solutions around Role-Based Access (RBA)
Experience working with agile delivery teams
Effective planning, communication, collaboration and persuasion skills to drive needed change across the company
Expert written and verbal communication skills; familiarity with SharePoint team sites to collaborate; self-starter, takes initiative and is able to work in a fast-paced environment
Preferred Skills & Experience:
Experience and knowledge of Upstream Oil & Gas Production Optimization, Production Volumes, and Production Revenue Accounting - business processes and business terms
Experience with tools such as TAMR, Collibra, and ER Studio
Understanding of large data store technologies (Data Lakes, Data Warehouse, Data Hubs, etc.) – Specifically Snowflake
Experience with Type 2 Dimensional Modelling
Knowledge of JSON, Python, GIT; understanding of API concepts and integration architecture
Knowledge of TOGAF Framework and DAMA DMBoK v.2 desirable
Knowledge and experience working with Role-based access
Leadership: Strong interpersonal skills with ability to influence without direct authority; able to effectively interact with large and diverse user community
Strong background in data, analytics, systems and tools: good working knowledge of OSDU, Graph, ADX, NoSQL and other modern data storage solutions and related data extraction tools
Familiarity with Upstream Data, common workflows, and data sources / repositories
Job 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.
