Data Architecture Consultant

KBH Industrial•Richland, WA

3d•Onsite

About The Position

KBH Industrial is seeking a Data Architecture Consultant to join their team in Richland, Washington. This role involves designing and implementing a single source of truth, data-centric platform that integrates diverse data sources from all phases of a new nuclear build. The platform will incorporate innovative, data-driven solutions to streamline workflows, enhance collaboration, and provide real-time data analytics for various processes including requirements management, records control, change management, regulatory compliance, work control, maintenance planning, and equipment reliability monitoring. The consultant will also communicate platform objectives and strategies to stakeholders and collaborate on defining roles and responsibilities.

Requirements

Bachelor's degree in computer science, information technology, data science, engineering or a related field.
Five years of experience in a data architecture, data management, or related role.
U.S. Citizenship Required

Nice To Haves

Experience working with and designing operational, change management, or records systems.
Experience integrating data from a variety of disparate systems into a centralized location.
Knowledge of a wide array of cloud providers, SaaS platforms, data storage platforms, and experience making decisions about which technologies are optimal for a projects needs.
Experience gathering requirements from stakeholders with varying backgrounds and advising on technical solutions.
Experience leading and building technical teams, communicating stakeholder priorities and producing tasking accordingly, and providing regular statuses to stakeholders on project objectives.
Strong knowledge of various database technologies (e.g., SQL), data integration (ETL/ELT application integration) frameworks, and cloud services (e.g., AWS, Azure).
Experience with big data technologies (e.g., Hadoop, Spark) and data streaming services (e.g., Kafka).
Proficient in a programming language such as Python, Java, or others.
Expertise in data modeling and data warehousing principles including an understanding of transactional schema, normalization/denormalization, star schema, snowflake schema, etc.

Responsibilities

Implement the comprehensive data strategy for a single source of truth data-centric platform.
Implement the Data Governance Framework that establishes effective data architecture and integration principles, policies, and standards to ensure data quality, security, and compliance.
Identify the best solutions for the creation of digital twins for regulatory programs and the digital threads to requirements and plant equipment.
Evaluate in-use enterprise asset management software and databases to identify opportunities for inclusion and elimination of redundancy.
Communicate the objectives and strategies for the data platform to internal stakeholders and key external partners.
Collaborate to define roles, responsibilities, and authorities.