Schlumberger Oilfield services company Hot Vacancies

Job Description:
Schlumberger has an opening in Houston, Texas for an EIM MDM Architect. The EIM MDM Architect is responsible for designing and enhancing the master data component of the Enterprise Solution Architecture. This includes creation of a "blueprint" that depicts the high-level design of the MDM architecture.
The position requires close collaboration with other EIM pillars (Delivery, Integration Governance and Operations and Services) to understand MDM requirements.  This collaboration includes an analysis of desired Key Performance Indicators (KPIs), metrics, dimensions, preferred methods of analysis, candidate data sources, and aggregation needs.
The candidate may work on any of the following:
  • Owns, develops and publishes enterprise MDM data model
  • Aligns EIM technical architecture framework with requirements defined by EIM Delivery
  • Provides leadership and guidance with MDM best practices, governance, standards and conventions
  • Partners with security resources to ensure compliance with data security and privacy mandates
  • Manages MDM lifecycle
  • Evaluates and recommends new and emerging MDM technologies, methodologies and standards
  • Ensures consistency and compatibility with all other system technology components
  • Mentors MDM Modelers and leads data modeling efforts
  • Conducts technical design reviews
  • Defines the EIM MDM data model and architecture
  • Utilizes a data modeling tool to develop "blueprints" for the Conceptual Data Model of the EIM MDM architecture
  • Develops enterprise conceptual models to integrate master data from diverse data sources into conformed, high quality, and referentially sound enterprise master data model
  • Establishes and governs master data modeling standards that includes naming standards, data quality indicators, data categorization, ETL attribute usage, data consistency and reuse
  • Designs logical master data models using the data modeling tool for all layers in the MDM technical architecture framework
  • Mitigates performance implications of various data modeling and architecture decisions at the logical and physical layer as related to ETL, ad hoc query access, and static reporting
  • Reviews and validates master data models with stakeholders and subject matter experts
  • Collaborates with the EIM Integration pillar to develop master data acquisition strategies and enterprise ETL design patterns aligned with the enterprise master data models
  • Collaborates with database administrators to design and implement physical master data models including performance and quality controls such as indexing strategies, referential integrity constraints, versioning, release management and partitioning
  • Resolves complex technical issues as they relate to master data architecture, performance, and various tools, working closely with other technical team members
  • Creates master data and process flows to graphically depict the master data architecture component of the D&A framework
  • Provides technical leadership in evaluating, prototyping and evolving the EIM MDM framework for emerging technologies related to enterprise analytics.  These technologies may include unstructured "Big Data", data grids and cloud-based computing
  • Effectively communicates MDM architecture and design details to team members, including EIM Delivery, Integration, Governance & Operations, Services, D&A Management and other Stake Holders
Minimum Bachelor’s Degree
  • Minimum of 6 years of Strong experience in Data Management.
  • 5 years of experience in data modeling using CA Erwin or Embarcadero ER Studio
  • 5 years of experience in data warehousing required
  • 2 years as a technical lead
  • 2 years of working experience with an MDM solution
  • Experience implementing a Data Vault architecture preferred
  • Working understanding of Tableau or similar in memory analysis tool
  • Experience with Agile development methodologies and concepts required
  • Experience with the following disciplines is required:  Data Warehousing, EAI, Metadata Management, MDM, Relational Databases, Dimensional Databases, Semantics, Data Lifecycle Management, SQL, PL/SQL, UML, XML
  • Common Oilfield Operation procedures and the processes and procedures utilized to carry out Business Systems
  • Excellent written communication and meeting facilitation skills required

Upon entry, intermediate level of understanding in:
  • Data requirements
  • Data quality and compliance
  • Data management principles
  • Business process management
  • Data stewardship, strategy and governance
  • Data factory capabilities
  • Data warehousing and business intelligence support
  • Must be able to work in the US without Sponsorship
  • Organized analytical thinker
  • Conscious of data quality
  • Good communication skills
  • Good teaming skills
  • Creative and innovative
  • Customer focused
  • Knowledge of Oilfield terminology and business practices
  • Ability to work in global distributed setting
  • Self-driven, Proactive, Systems Thinking
  • International exposure
  • Oil & Gas industry exposure

Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.

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