Data Solutions Architect

Title: Data Solutions Architect

Duration: 3 Months

Location: Portland, OR

Introduction

Data Architect and lead the charge in implementing innovative IT solutions that align with our strategic vision. You will play a pivotal role in developing customized solutions that meet our stakeholders' needs, promoting technological progress that adheres to industry standards for NW Natural's benefit. We are committed to surpassing expectations and cultivating an environment of creativity and teamwork. As a valued team member, you will be recognized for your contributions, supported in your career growth, and make a significant impact beyond just IT. Embark on this career path with us, where leadership, architectural insight, and infrastructure knowledge are the pillars of success.

Job Description

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 at NW Natural, 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.

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.
  

Requirements

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.
  

Top 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.