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Senior Data Platform Engineer Jobs in Oregon (NOW HIRING)

Senior Data Architect

Odell, OR ยท On-site

$69 - $92.25/hr

Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI ... senior leadership on data and AI architecture decisions. Mentor and guide data engineers ...

We are seeking a hands-on Senior Workday Platform Engineer within the G&A IT Applications team to ... Enforce non-production data masking and scrubbing practices. * Support SOX, GDPR, and HIPAA ...

Staff Software Engineer - Data Platform

OR ยท On-site +1

$114K - $137K/yr

As the lead technical member of the Data Platform team, you'll architect the next generation of services that let every team at Pantheon trust and act on data, working closely with Software Engineers ...

Senior Data Engineer

OR ยท On-site +1

$105K - $143K/yr

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability ... the platform. * Operational Excellence: Monitor production health using monitoring tools (e.g.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data Engineer ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Data Engineer

Eugene, OR ยท On-site

$100K/yr

Collaborate closely with the Senior Data Engineers, receiving technical guidance and implementing ... platform * Collaborate with analytics, financial services, IT, university departments, and external ...

Data Engineer

Eugene, OR ยท On-site

$100K/yr

Collaborate closely with the Senior Data Engineers, receiving technical guidance and implementing ... platform * Collaborate with analytics, financial services, IT, university departments, and external ...

Data Engineer

Eugene, OR ยท On-site

$100K/yr

Collaborate closely with the Senior Data Engineers, receiving technical guidance and implementing ... platform * Collaborate with analytics, financial services, IT, university departments, and external ...

$160K/yr

... Engineer to join its expanding data and analytics team ... This role will be responsible for designing, building, and optimizing scalable data platforms that ...

... Data Analytics and Visualization, Information Assurance, and Business Process Re-Engineering ... We are seeking a skilled Platform Engineer to join our team to design, build, and maintain robust ...

Senior AI Identity Platform Engineer

OR ยท On-site +1

$104K - $143K/yr

Ability to obtain and maintain a Public Trust LTS is seeking a Senior AI Identity Platform Engineer ... Build fine-grained authorization models controlling AI access to enterprise data, APIs, tools, and ...

Senior DevOps/Platform Engineer

Portland, OR ยท On-site

$120 - $147/hr

Senior DevOps/Platform Engineer Jitsu, Inc. Portland, Oregon, United States About this position ... Experience deploying, operating, and tuning a mix of data stores -- relational (PostgreSQL ...

Software Engineer II - Data Platform

OR ยท On-site +1

$114K - $137K/yr

Stay up-to-date with industry trends and technologies in data engineering, analytics, and modern data platforms. * Continuously improve our standard of engineering excellence by implementing best ...

... data sources and shared architectural contracts. * Work with the Sr. Director and model evaluation tooling to help close the loop between evaluation results and model selection, prompt tuning, and ...

Help shape Nike's analytical platforms and products by identifying foundational data science ... Advanced skills in programming languages (particularly Python and SQL) and ability to apply them ...

Showing results 21-40

Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

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

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Oregon?

The most popular types of Data Platform Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Data Platform Engineer jobs?

Cities in Oregon with the most Senior Data Platform Engineer job openings:

Senior Data Architect

Montefiore

Odell, OR โ€ข On-site

$69 - $92.25/hr

Full-time

Re-posted 27 days ago


Key responsibilities

  • Design and architect Montefiore's AI-ready data Lakehouse and define modern data architecture patterns.

  • Establish enterprise-wide data strategy, governance, and standards to support clinical and operational data needs.

  • Collaborate with data teams to develop scalable data solutions, enable AI and advanced analytics, and ensure data security and compliance.


Job description

City/State:

Yonkers, New York

Grant Funded:

No

Department:

D&A - Data & Analytics

Work Shift:

Day

Work Days:

MON-FRI

Scheduled Hours:

9 AM-5:30 PM

Scheduled Daily Hours:

7.5 HOURS

Pay Range:

$160,000.00-$200,000.00

Montefiore is ranked among the top hospitals nationally and regionally by U.S. News & World Report. For more than 100 years we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes and raising the bar for academic medical centers in the region and around the world. Our work to improve health outcomes in underserved communities is unparalleled in the United States. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages.

As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams. Montefiore is actively investing in its data & analytics driven solutions as a new system-level priority, and we are seeking data experts who are excited to create a tangible impact with the healthcare system.

The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. This role will be responsible for designing and architecting Montefiore's AI-ready data Lakehouse, defining modern data architecture patterns, establishing enterprise-wide data strategy, governance, and integration standards to support business cases across the health system. This role will work with designing and architecting complex data solutions in a fast-paced, rapidly evolving landscape answering critical business and clinical questions.

This role is also critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare.

Responsibilities include:

Modern Data Strategy & Roadmap

Define and drive the vision, Montefiore data strategy, and roadmap for the enterprise data architecture, aligning with Montefiore business objectives.

Data Architecture Leadership: Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity across all systems and departments.

Create multi-year architecture and modernization roadmaps.

Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement.

Provide thought leadership on emerging data and AI trends.

Enterprise Data & AI Architecture

Design and implement an AI-ready data Lakehouse architecture supporting structured, semi-structured, and unstructured data.

Define modern data architecture patterns (e.g., medallion architecture, data mesh, data fabric, domain-driven data design).

Establish scalable, cloud-native data platforms optimized for advanced analytics, ML, and generative AI workloads.

Develop reference architectures, technical standards, and best practices for enterprise adoption.

This hands-on role will build and deliver highly performant and scalable data products across clinical, operational and other functional areas enabling data driven decision making across the health system.

Provide thought leadership & strategic thinking to design and enablement of Montefiore's next generation data eco-system.

Lead our enterprise data initiatives to ensure single, accurate, and consistent view of metrics across data domains, including standard definitions for our clinical, operational and administrative needs.

AI Enablement & Advanced Analytics

Architect data platforms that support ML lifecycle management, feature stores, model training, and inference.

Enable data pipelines optimized for real-time, batch, and streaming workloads.

Ensure data readiness for LLMs, generative AI, and advanced AI use cases.

Collaborate with Data Scientists and ML Engineers to operationalize AI models at scale.

Help ensure security, privacy and compliance for all data assets.

Collaborate with data product managers, business and analytic stakeholders to translate business needs to practical and scalable data solutions

Collaborate with data engineers, product managers, data scientists, BI developers and application teams, to understand data requirements and translate them into technical solutions

Serve as a trusted advisor to senior leadership on data and AI architecture decisions.

Mentor and guide data engineers, architects, and analytics teams.

Lead architecture reviews and ensure alignment with enterprise IT strategy.

Drive cross-functional collaboration across business and technology teams.

Qualifications include:

12+ years of experience in modern Data Architecture, Data Modeling, Data Acquisition, Data Integration, Data Lake or Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data Standardization

Deep expertise in translating complex clinical, operational and administrative datasets into enterprise-grade data products, data modeling techniques and performance analysis & tuning.

Experience with initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes

Minimum 4+ years of strong experience in Snowflake, SQL, Oracle and SQL Server

Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and Python

Familiarity with ML/AI platforms, MLOps frameworks, and feature engineering pipelines.

Experience with cloud providers preferably AWS

Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management

Knowledge in healthcare preferably in a health system domain Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.)

Bachelor's or master's degree in computer science, Engineering or similar

Competencies include:

Ability to think strategically and drive structured execution

Structured, linear thinker that can conduct business outcome diagnostics and identify highest value business opportunities

Strong facilitation skills to help business leaders identify their most important business questions

Exhibits excellent judgment, especially when working with ambiguity. Sets stretch goals and works to exceed goals with a focus for results.

Has the innate ability to gain the confidence of and build strong relationships with executives, peers, management and subordinates alike.

Excellent business-facing presentation skills.

#SF-DICE-MIT

#LI-SC

Montefiore Health System, Inc. is an equal employment opportunity employer. Montefiore Health System, Inc. will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.