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Matrix Design Jobs in Oregon (NOW HIRING)

This is a product design role, not a traditional enterprise UX role. If your instinct is to start with a requirements doc and a stakeholder matrix, this isn't the fit. Key Responsibilities: * Help ...

Sr. Epic Data Acquisition Analyst

$85K - $108K/yr

... matrix. * Partner with client Epic teams (Application Coordinators, report writers, interface ... Design and oversee extraction of Epic data using both reporting tools (Clarity, Caboodle, Reporting ...

Senior Product Developer - NikeSKIMS Footwear

Beaverton, OR · On-site

$131K - $173K/yr

... Design, Product Management, Product Engineer, Material Development, Product Testing, PCC, PMO, and ... Additionally, you will navigate the NIKE matrix to ensure the team's process model aligns with NIKE ...

$50 - $70/hr

Develop of a requirements traceability matrix confirming all requirements have been tested. * Implement testing based on system functional and design requirements specifications. Who You Are:

Lead Investigator-Initiated Research strategy and matrix alignment needs across development ... design from MA perspective of where the field is moving and KOL feedback, adding value to clinical ...

Lead design effort based on client's request for the material handling system(s) using their data ... Work with client to create weighted Selection Criteria Matrix driving optimal solution selections ...

OR · On-site

The Global Clinical Lead will lead the design of therapeutic clinical trials, including but not ... In this role, the Global Clinical Lead will work closely in a matrix organization with the ...

Build advanced reports (matrix, composite, BIRT), calculated fields, validations, and business process frameworks. * Leverage Workday Extend to design and build lightweight custom applications that ...

OR · On-site

Design, implement and manage new physical security systems. * Audit, troubleshoot and maintain ... matrix environment. * 7-10 Years of experience in researching and procuring relevant technologies ...

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Showing results 21-40

Matrix Design information

How does a matrix design professional typically collaborate with cross-functional teams during a project?

Matrix Design professionals often work in environments where they interact with various departments such as engineering, marketing, and product management. Collaboration usually involves frequent meetings to align project goals, clarify requirements, and resolve design challenges. Effective communication and adaptability are essential, as team members may report to multiple managers or stakeholders. This structure fosters innovation but can also present challenges in balancing priorities and managing differing expectations.

What is matrix design?

Matrix Design typically refers to the creation and structuring of matrix organizational systems, which are used to manage projects or operations by combining functional and project-based management. Professionals in matrix design analyze business needs and develop frameworks where employees report to multiple managers, such as both a functional and a project manager. This approach helps organizations be more flexible and efficient, but also requires careful planning to avoid confusion and conflicts. Matrix Design specialists often work in organizational development, consulting, or management roles to help companies implement and optimize these structures.

What are the key skills and qualifications needed to thrive as a matrix designer, and why are they important?

To thrive as a Matrix Designer, you need expertise in structural engineering principles, advanced mathematics, and proficiency in design methodologies, typically supported by a degree in engineering or architecture. Familiarity with CAD software, finite element analysis tools, and relevant building codes is crucial. Strong problem-solving, attention to detail, and effective communication skills help ensure successful project collaboration and execution. These abilities are vital for creating safe, efficient, and innovative matrix structures that meet client and regulatory requirements.

What is the difference between Matrix Design vs Structural Engineer?

AspectMatrix DesignStructural Engineer
CredentialsDegree in design, architecture, or related field; often requires certification in project managementDegree in civil or structural engineering; licensure (PE) often required
Work EnvironmentDesign studios, client meetings, collaborative project teamsConstruction sites, engineering firms, design offices
Industry UsageArchitecture, interior design, product designConstruction, infrastructure, building design

Matrix Design professionals focus on creating integrated design solutions across disciplines, often working in collaborative environments. Structural Engineers specialize in analyzing and designing structural systems for safety and stability. While both roles require technical expertise, Matrix Design emphasizes creative integration, whereas Structural Engineering centers on technical structural analysis.

What cities in Oregon are hiring for Matrix Design jobs?

Cities in Oregon with the most Matrix Design job openings:

BigData Engineer / Architect

Nitor Infotech

Portland, OR

Full-time

Re-posted yesterday


Job description

Company Description

The hunt is for a strong Big Data Professional, a team player with the ability to manage effective relationships with a wide range of stakeholders (customers & team members alike). Incumbent will demonstrate personal commitment and accountability to ensure standards are continuously sustained and improved both within the internal teams, and with partner organizations and suppliers.

Role: Big Data Engineer

Location: Portland OR.

Duration: Full Time

Skill Matrix:

Map Reduce - Required
Apache Spark - Required
Informatica PowerCenter - Required
Hive - Required
Apache Hadoop - Required
Core Java / Python - Highly Desired
Healthcare Domain Experience - Highly Desired

      Job Description

      Responsibilities and Duties

      • Participate in technical planning & requirements gathering phases including architectural design, coding, testing, troubleshooting, and documenting big data-oriented software applications.
      • Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business's operational and analytics databases, and troubleshoots any existent issues.
      • Implementation, troubleshooting, and optimization distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Storm, Kafka, etc. in both an on premise and cloud deployment model to solve large scale processing problems
      • Design, enhance and implement ETL/data ingestion platform on the cloud.
      • Strong Data Warehousing skills, including: Data clean-up, ETL, ELT and handling scalability issues for enterprise level data warehouse
      • Capable of investigating, familiarizing and mastering new data sets quickly
      • Strong troubleshooting and problem-solving skills in large data environment
      • Experience with building data platform on cloud (AWS or Azure)
      • Experience in using Python, Java or any other language to solving data problems
      • Experience in implementing SDLC best practices and Agile methods.
      Qualifications

      Required Skills:

      • Data architecture/ Big Data/ ETL environment
      • Experience with ETL design using tools Informatica, Talend, Oracle Data Integrator (ODI), Dell Boomi or equivalent
      • Big Data & Analytics solutions Hadoop, Pig, Hive, Spark, Spark SQL Storm, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)
      • Building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozy, Sqoop, Pig, Hive, HBase, Avro, Parquet, Spark, NiFi
      • Foundational data management concepts - RDM and MDM
      • Experience in working with JIRA/Git/Bitbucket/JUNIT and other code management toolsets
      • Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Python - any one is fine
      • Healthcare Domain knowledge

      Required Experience, Skills and Qualifications

      Qualifications:

      • Bachelor's Degree with a minimum of 6 to 9 + year's relevant experience or equivalent.
      • Extensive experience in data architecture/Big Data/ ETL environment.
      Additional Information

      All your information will be kept confidential according to EEO guidelines.