Data Architecture Consultant #26-18678

Be part of a team tasked with designing and implementing a single source of truth, data-centric platform that integrates diverse data sources from all phases of a new nuclear build, including design, licensing, procurement, construction, commissioning, and plant operations.

Incorporate innovative, data-driven solutions that streamline workflows, enhance collaboration, and provide real-time data analytics into the processes for requirements management and traceability, records creation and control, change management, regulatory programs compliance demonstration, work control, maintenance planning and scheduling, and equipment reliability monitoring.

Communicate the objectives and strategies for the data platform to internal stakeholders and key external partners and collaborate to define roles, responsibilities, and authorities.

Principal Accountabilities:

• 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.

Required Education and Experience:

• Requires a bachelors degree in computer science, information technology, data science, engineering or a related field, and five years of experience in a data architecture, data management, or related role.

Desired Education and Experience:

• 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.