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Data Infrastructure Manager Jobs in Oregon (NOW HIRING)

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... infrastructure and integration to support scalable AI systems - Driving business growth by ...

$114K - $137K/yr

Maintain and optimize the data infrastructure required for accurate extraction, transformation, and ... Strong project management and organizational skills. Excellent problem-solving, communication, and ...

$114K - $137K/yr

Maintain and optimize the data infrastructure required for accurate extraction, transformation, and ... Strong project management and organizational skills. Excellent problem-solving, communication, and ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology ... You treat the data infrastructure as your own product, proactively identifying areas for ...

Group Product Manager, AI and Data

OR · Remote

$171K - $190K/yr

Position Overview The Group Product Manager, AI & Data is a senior product leader responsible for ... This role sits at the intersection of product strategy, data infrastructure, platform partnerships ...

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$114K - $137K/yr

... infrastructure for capacity, provisioning, and operations; and security and access management via ... Data Movement Platform - Abstractions Provides a self-service, abstracted platform that empowers ...

OR

$120K - $158K/yr

Sr. Principal Technical Product Marketing Manager - Foundation Pillar Team: Product Marketing ... Own the infrastructure-layer narrative - 6sense as the data and intelligence layer that agentic GTM ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Senior Data Architect

$67.25 - $90/hr

Proven experience with data modeling, enterprise data warehousing, and cloud-based data infrastructure (e.g., Azure, AWS, GCP). * Deep knowledge of data governance, metadata management, and data ...

Lead and manage a team of data engineers in delivering quality code and building data products and ... infrastructure is AI-ready, including feature store availability, embedding pipelines, vector ...

Data Center Night Manager

Boardman, OR · On-site

$163K/yr

Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and ...

Manage a team that maintains cloud infrastructure for global data center operations. AWS is looking for technology managers with experience in people management, strong technical understanding and ...

Data Center Night Manager

Boardman, OR · On-site

$163K/yr

Manage a team that maintains cloud infrastructure for global data center operations. AWS is looking for technology managers with experience in people management, strong technical understanding and ...

... Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Showing results 21-40

Data Infrastructure Manager information

What are the key skills and qualifications needed to thrive as a data infrastructure manager?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.
What are the most commonly searched types of Data Infrastructure jobs in Oregon? The most popular types of Data Infrastructure jobs in Oregon are:
What are popular job titles related to Data Infrastructure Manager jobs in Oregon? For Data Infrastructure Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Manager jobs in Oregon look for? The top searched job categories for Data Infrastructure Manager jobs in Oregon are:
What cities in Oregon are hiring for Data Infrastructure Manager jobs? Cities in Oregon with the most Data Infrastructure Manager job openings:

AI & GenAI Data Scientist-Director

Pwc

Portland, OR

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Director

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
Responsibilities
- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
- Overseeing the implementation of data infrastructure and integration to support scalable AI systems
- Driving business growth by identifying market opportunities and converting them into successful client engagements
- Mentoring and guiding teams in the application of advanced data analytics and AI techniques
- Promoting technological advancements and fostering an environment where people and technology thrive together
- Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
- Utilizing programming languages such as Python and C++ to develop and deploy AI models
- Managing complex data analysis and confirming data quality and integrity within analytics frameworks
- Encouraging creativity and innovation in problem-solving and solution development
- Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
What You Must Have
- At least a Bachelor's degree
- At least 12 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Leading AI-driven automation projects with strategic mindset and innovation
- Promoting technological advances in data infrastructure and integration
- Cultivating potential in others through coaching and feedback

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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