1

Big Data Manager Jobs in Oregon (NOW HIRING)

Responsibilities As a Manager, Data Management , you will lead the architecture, design, delivery ... Define and advance the long-term architecture for modern big data platforms, including data lakes ...

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Data Engineer - AI

$101K - $132K/yr

This includes but is not limited to managing data implementations, data integrations, data ... Any Databricks / AWS certifications is a big plus. * Familiarity with data pipeline orchestration ...

AWS Data Engineer Snowflake

OR

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

AWS Data Engineer Snowflake

OR · On-site

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

Partner with enterprise data management and strategy on business glossary implementation and ... Experience with big data and cloud with Databricks & Snowflake is preferred * Experience, interest ...

next page

Showing results 1-20

Big Data Manager information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do big data manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for big data manager in Oregon is $102,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 per year, depending on experience, location, and employer.

What are some common challenges big data managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

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

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What is a big data manager?

A Big Data Manager is a professional responsible for overseeing the collection, storage, analysis, and use of large and complex data sets within an organization. They manage teams of data engineers, analysts, and scientists to ensure data is processed efficiently and securely. Big Data Managers also develop strategies to leverage data for business insights, make technology decisions, and ensure compliance with data governance policies. Their role bridges the gap between business objectives and technical solutions in the realm of big data.

What is the difference between Big Data Manager vs Data Analyst?

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Big Data jobs in Oregon? The most popular types of Big Data jobs in Oregon are:
What are popular job titles related to Big Data Manager jobs in Oregon? For Big Data Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Big Data Manager jobs in Oregon look for? The top searched job categories for Big Data Manager jobs in Oregon are:
What cities in Oregon are hiring for Big Data Manager jobs? Cities in Oregon with the most Big Data Manager job openings:

$58.75 - $77.50/hr

Contractor

Re-posted 20 days ago


Job description


  • Excellent scripting skills in one or more (Java Script, Shell, Python etc.)
  • Experience with Git, Subversion or other version control systems
  • Experience with continuous integration and/or continuous delivery
  • Hands on experience with configuration management tools, such as Puppet, Chef or AWS OpsWorks
  • Hands on experience with HDFS, Map Reduce, Presto, Hive, Impala, Spark or similar technologies
  • Ability to build libraries, user defined functions and frameworks on Hadoop eco system, Python and/or Spark
  • Understanding of Hadoop distributions such as EMR
  • Experience with AWS or Cloud
  • Orchestration tools experience like Airflow or similar open source tools
  • Experience with Snowflake cloud data warehouse is a BIG plus