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Data Platform Manager Jobs in Albany, OR (NOW HIRING)

MTO Data Governance Strategy Architect

Corvallis, OR · On-site

$66 - $85/hr

Responsibilities : • Mostly Oracle DB, both on prem and AWS • AWS. • ETL for data integration • Data Governance • Data Quality Management • Python • SQL • Data modeling • Platform ...

Advanced proficiency with data analytics tools, programming languages (e.g., Python, SQL), and data management platforms, with a focus on leveraging these tools for strategic business impact.

Advanced proficiency with data analytics tools, programming languages (e.g., Python, SQL), and data management platforms, with a focus on leveraging these tools for strategic business impact.

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

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Data Platform Manager information

See Albany, OR salary details

$30.9K

$96.9K

$171.6K

How much do data platform manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data platform manager in Albany, OR is $96,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $125,200.00 per year, depending on experience, location, and employer.

What is a data platform manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.

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

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What are some common challenges faced by data platform managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

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

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

What job categories do people searching Data Platform Manager jobs in Albany, OR look for?

The top searched job categories for Data Platform Manager jobs in Albany, OR are:

Infographic showing various Data Platform Manager job openings in Albany, OR as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,941 per year, or $46.6 per hour.

MTO Data Governance Strategy Architect

Perfict

Corvallis, OR • On-site

$66 - $85/hr

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. They are seeking an MTO Data Governance Strategy Architect to design and implement data governance frameworks, manage data quality, and integrate data from various sources while leveraging cloud computing technologies.
Responsibilities:
• Mostly Oracle DB, both on prem and AWS
• AWS.
• ETL for data integration
• Data Governance
• Data Quality Management
• Python
• SQL
• Data modeling
• Platform Design: The architect should understand modern data platform architectures encompassing cloud-native solutions. The architect should be proficient in designing scalable, reliable, and cost-effective data platforms leveraging AWS services or other cloud providers.
• Data Modeling: The architect should be proficient in data modeling to design efficient data schemas that support the organization's analytical and operational needs while adhering to best practices for performance and scalability.
• Data Integration: The architect should have expertise in integrating data from disparate sources and be familiar with various ETL/ELT tools and techniques, as well as real-time data integration methods to ensure timely and accurate data processing.
• Data Quality Management: The architect should have experience implementing data quality frameworks and processes to ensure the integrity and accuracy of data. This includes data profiling, cleansing, deduplication, and monitoring.
• Data Governance: The architect should understand data governance principles and practices to ensure data is treated as an asset and governed effectively throughout its lifecycle.
• Cloud Computing: The architect should understand cloud computing concepts and have professional experience with cloud platforms like AWS. The architect should be familiar with cloud services relevant to data management, such as S3, Redshift, Glue, Athena, and others.
• Programming and Scripting: The architect should be proficient in programming languages such as Python and SQL for implementing processing logic, automation, and scripting tasks.
• Communication and Stakeholder Management: The architect should possess strong communication skills for collaborating with cross-functional teams, understanding business requirements, and effectively communicating technical solutions to stakeholders at all levels of the organization.
• Problem-Solving and Analytical Thinking: The architect should have the ability to analyze complex data-related problems, identify root causes, and propose innovative solutions.
Qualifications:
Required:
• Mostly Oracle DB, both on prem and AWS
• AWS
• ETL for data integration
• Data Governance
• Data Quality Management
• Python
• SQL
• Data modeling
• Platform Design: The architect should understand modern data platform architectures encompassing cloud-native solutions. The architect should be proficient in designing scalable, reliable, and cost-effective data platforms leveraging AWS services or other cloud providers.
• Data Modeling: The architect should be proficient in data modeling to design efficient data schemas that support the organization's analytical and operational needs while adhering to best practices for performance and scalability.
• Data Integration: The architect should have expertise in integrating data from disparate sources and be familiar with various ETL/ELT tools and techniques, as well as real-time data integration methods to ensure timely and accurate data processing.
• Data Quality Management: The architect should have experience implementing data quality frameworks and processes to ensure the integrity and accuracy of data. This includes data profiling, cleansing, deduplication, and monitoring.
• Data Governance: The architect should understand data governance principles and practices to ensure data is treated as an asset and governed effectively throughout its lifecycle.
• Cloud Computing: The architect should understand cloud computing concepts and have professional experience with cloud platforms like AWS. The architect should be familiar with cloud services relevant to data management, such as S3, Redshift, Glue, Athena, and others.
• Programming and Scripting: The architect should be proficient in programming languages such as Python and SQL for implementing processing logic, automation, and scripting tasks.
• Communication and Stakeholder Management: The architect should possess strong communication skills for collaborating with cross-functional teams, understanding business requirements, and effectively communicating technical solutions to stakeholders at all levels of the organization.
• Problem-Solving and Analytical Thinking: The architect should have the ability to analyze complex data-related problems, identify root causes, and propose innovative solutions.
Company:
Perfict Global is an IT consulting services provider, focused on providing innovative and successful business workforce solutions. Founded in 2011, the company is headquartered in Concord, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Perfict logo

About Perfict

Sourced by ZipRecruiter

We are a technology company focused on providing innovative and successful business workforce solutions. Since 2011, Perfict has partnered with the biggest names across sectors offering a customized approach to each solution. We’ve established networks of genuine relationships that allow us to source the highest-quality talent and execute deals and hires quickly. With locations in US and India, we work globally to help you build your organization. Our methodology begins with listening to you about your needs. We work with your team to gain a clear understanding of your requirements, while providing a knowledge transfer of best practices.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2011

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