Our client is looking for a passionate Data Architect to join their team who lead the charge in implementing innovative IT solutions that align with the strategic vision. You will play a pivotal role in developing customized solutions that meet stakeholders' needs, promoting technological progress that adheres to industry standards. Are you interested to work for a company providing safe and reliable utility services and renewable energy to better the lives of the communities we serve. Their vision is to be the leader in service excellence, innovation and environmental stewardship for their customers, while building on strengths as a trusted energy provider and environmental leader for the industry. If you are interested in this role, please do reach out! We value and encourage diversity in the workplace and women, minorities, and veterans are highly encouraged to apply. Thank you!
Type: 3 month contract
Location: Portland, OR
Job Summary-
You will be responsible for designing, creating, and managing an organization's data architecture. This role is critical in enhancing a solid foundation for data management, ensuring that data is organized, accessible, secure, and aligned with business objectives.
You will also provide technical leadership and guidance to the data management team and other stakeholders on best practices, standards, and architectures for data systems, data integration, and data storage solutions.
You will collaborate with other Data Architects, Enterprise Architects, Solution Architects, Business Analysts, Project Managers, and Developers to ensure the data architecture solutions are aligned with the enterprise architecture vision and principles.
Job Responsibilities-
Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
Work with enterprise architects and IT&S team members to analyze business requirements and develop data architecture strategies.
Define standards and guidelines for data modeling, data integration, and data quality management.
Develop and implement data models for operational and analytical systems to maximize the efficiency and effectiveness of data assets.
Oversee the design, implementation, and maintenance of data solutions, including data warehouses, data lakes, and data marts.
Develop strategies for data governance, data security, and data privacy compliance.
Analyze current data systems to identify deficiencies and recommend improvements.
Collaborate with business stakeholders, project teams, and IT staff to ensure the alignment of data architecture with business objectives.
Provide guidance and leadership in data-related technologies, trends, and methodologies.
Document data architecture designs, decisions, and processes comprehensively.
Ensure compliance with enterprise data architecture standards and policies.
Job Requirements-
Bachelor's degree in computer science, Information Systems, or a related field, or equivalent experience.
At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives
Experience leading projects involving data warehousing, data modeling, and data analysis
Design experience in Proficiency in Azure Fabric Synapse, Informatica and PowerBI
Knowledge of data governance, data quality management, and data security best practices.
Experience with ETL processes and tools.
Experience with data visualization tools such as Power BI, or similar.
Skills-
Excellent interpersonal skills in areas such as teamwork, facilitation, and negotiation.
Strong leadership skills.
Excellent analytical and technical skills.
Excellent written and verbal communication skills.
Excellent planning and organizational skills.
Knowledge of data architecture principles and processes.
Knowledge of financial models and budgeting.
Understanding of IT service management (ITSM) and Information Technology Infrastructure Library (ITIL Foundations Certification is encouraged).
Knowledge and understanding of different data modeling languages and techniques.
Competencies-
Ability to understand the long-term ("big picture") and short-term perspectives of situations and how they relate to achieving targeted business outcomes.
Ability to estimate the financial impact of technology alternatives.
Ability to apply multiple technical solutions to enable future-state business capabilities that, in turn, drive targeted business outcomes.
Ability to quickly comprehend the functions and capabilities of existing, new, and emerging data technologies that enable and drive new business designs and models.
Demonstrated ability to work well with others and be respected as a leader