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Knime Analytics Platform Jobs (NOW HIRING)

Advanced Micro Devices, Inc

Program Manager

Austin, TX · Hybrid

Proficiency in tools such as MS Excel, PowerPoint, ERP systems, and advanced analytics platforms (e.g., Python, SQL, Power BI, SAP, KNIME) * Familiarity with electronics or board assembly processes ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of ... needs, perform analytical deep-dives to identify problems, opportunities and specific actions ...

REsurety

Settlement Analyst - Expert Services

Boston, MA · On-site

$68K - $75K/yr

Familiarity with R, KNIME, APIs, and JSON data formats * Experience with wind and solar resource ... Resurety's CleanTrade™ is the first and only CFTC-registered transaction platform for as ...

TriOptus LLC

Program Manager-Expert

Jersey City, NJ · On-site

Analyze, evaluate, and escalate program risks timely and produce program reports for management and ... KNIME, Appian, etc. * Knowledge and experience of Agile and Waterfall project management ...

Acosta

Automation Developer (AI)

Jacksonville, FL · Remote

Leverage analytical and automation platforms such as Power BI, Alteryx, KNIME, and similar tools to deliver insights and enable self-service analytics * Optimize and maintain SQL databases across ...

Advanced Micro Devices, Inc

Program Manager

Austin, TX · On-site

$119K/yr

Proficiency in tools such as MS Excel, PowerPoint, ERP systems, and advanced analytics platforms (e.g., Python, SQL, Power BI, SAP, KNIME) * Familiarity with electronics or board assembly processes ...

phData

Principal Product Manager

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... Extensive experience in product management roles focused on data, analytics, or AI platforms and ...

Acosta

Automation Developer (AI)

Jacksonville, FL · On-site

$84K - $105K/yr

Leverage analytical and automation platforms such as Power BI, Alteryx, KNIME, and similar tools to deliver insights and enable self-service analytics * Optimize and maintain SQL databases across ...

phData

OR

We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, and dbt to ... Our consulting services emphasize analytics and agentic activation, data visualization, data ...

phData

AI Governance Leader

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... Partner with executive sponsors, data and analytics leaders, product and delivery teams, and ...

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All JobsKnime Analytics Platform Jobs

Knime Analytics Platform information

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$15

$37

$70

How much do knime analytics platform jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for knime analytics platform in the United States is $37.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $49.52 per hour, depending on experience, location, and employer.

What is the KNIME analytics platform used for?

The KNIME Analytics Platform is used for data analysis, data mining, and machine learning. It provides a visual workflow interface that allows users to build, deploy, and manage data workflows without extensive programming knowledge.

What is KNIME Analytics Platform?

KNIME Analytics Platform is an open-source software for data analytics, reporting, and integration. It provides a graphical interface that enables users to create data workflows without needing to write code, though coding is supported for advanced tasks. KNIME supports a wide range of data sources and integrates with popular machine learning and data mining libraries. It is widely used for tasks like data preprocessing, statistical analysis, and predictive modeling. The platform is popular among data scientists, analysts, and researchers for its flexibility and extensibility.

What is the difference between Knime Analytics Platform vs Data Analyst?

AspectKnime Analytics PlatformData Analyst
Required CredentialsProficiency in data analytics tools, certifications in data science or analyticsBachelor's degree in statistics, data science, or related field; certifications are a plus
Work EnvironmentData science teams, analytics departments, often in tech or finance industriesBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed for data integration, machine learning, and automation in analytics projectsAnalyzing data, creating reports, supporting decision-making processes

Knime Analytics Platform is a powerful tool for data scientists and analytics teams, focusing on data processing and machine learning. Data Analysts typically use a variety of tools, including Knime, to interpret data and generate insights. While both roles require analytical skills, Knime specialists focus on building workflows and automation, whereas Data Analysts focus on interpreting data and reporting.

Which company uses KNIME?

Many companies across various industries use KNIME Analytics Platform for data analytics, machine learning, and automation tasks. Organizations such as pharmaceutical firms, financial institutions, and technology companies implement KNIME to streamline data workflows and improve decision-making processes. As a data analyst or KNIME specialist, familiarity with the platform can be valuable in roles that require data integration and advanced analytics skills.

What are some common challenges faced when onboarding new team members to projects using KNIME Analytics Platform?

Onboarding new team members to projects in KNIME Analytics Platform often involves ensuring familiarity with KNIME's workflow-based interface and the specific extensions used in your organization. New users may initially find it challenging to adapt to KNIME’s node-based approach, especially if they are more accustomed to coding-centric data tools. Providing access to well-documented, modular workflows and encouraging participation in KNIME’s community forums can accelerate learning. Collaboration is typically enhanced through version control integrations and shared workspace environments, which help new members quickly align with team standards and best practices.

What are the key skills and qualifications needed to thrive as a KNIME Analytics Platform specialist, and why are they important?

To thrive as a KNIME Analytics Platform specialist, you need a solid background in data analysis, statistics, and experience with data integration and workflow automation. Familiarity with the KNIME software suite, data visualization tools, and scripting languages such as Python or R, as well as relevant certifications like KNIME Certified Analytics Professional, are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills and qualifications enable professionals to efficiently manage data-driven projects, deliver actionable insights, and support business decision-making.

How does KNIME compare to Tableau?

KNIME Analytics Platform is an open-source data analytics and workflow automation tool focused on data processing, machine learning, and predictive modeling, while Tableau is a data visualization software designed for creating interactive dashboards and reports. Job roles involving KNIME often require data science skills and knowledge of scripting languages, whereas Tableau roles emphasize data visualization and business intelligence expertise.

Is data science in demand?

Data science is highly in demand in the USA, with roles frequently requiring skills in analytics platforms like KNIME, Python, or R. The field offers strong job growth, competitive salaries, and opportunities across various industries such as finance, healthcare, and technology.
More about Knime Analytics Platform jobs
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Knime Analytics Platform jobs near you
Infographic showing various Knime Analytics Platform job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $77,722 per year, or $37.4 per hour.
Senior Solutions Architect (Managed Services)

Senior Solutions Architect (Managed Services)

phData

Remote

Full-time

Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
  • Snowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year
  • AWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network
  • 2025 Fivetran Partner of the Year (4th consecutive year)
  • 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
  • 2026 KNIME Customer Excellence Partner of the Year
  • Preferred Partner in the Anthropic Claude Partner Network
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
  • Recognized as an award-winning workplace in the US, India and LATAM

Role Overview
We are looking for a Sr. Solutions Architect - Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will operate, mature, and optimize modern cloud data platforms spanning streaming, data lakes, data warehouses, and analytics to ensure performance, security, scalability, and user satisfaction. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions and advance phData's delivery excellence.
Key Responsibilities
Client Delivery
  • Own and drive the operation, reliability, and continuous improvement of modern cloud data platforms (streaming, data lakes, data warehouses, and analytics) for enterprise customers.
  • Translate business and technical requirements into robust cloud-native data platform architectures and implementation plans that align with phData methodologies, standards, and best practices.
  • Ensure engagements are delivered on time, within scope, and with measurable business value by providing architectural guidance and hands-on operational support for platforms such as Snowflake and Amazon Redshift.
  • Proactively identify and articulate best practices, platform optimizations, and automation opportunities to help customers get the most value from their Cloud Data Platform.
Collaboration & Leadership
  • Collaborate with cross-functional partners (engineering, analytics, ML, support, and others) to design, build, and operate modern data platforms for our clients.
  • Act as a technical leader across multiple simultaneous customer accounts, skillfully navigating complex environments and aligning stakeholders on priorities and approaches.
  • Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and operational reviews, including creating and delivering detailed technical presentations.
  • Ensure high quality in deliverables through rigorous troubleshooting, performance tuning, documentation, testing, governance, and change management.
  • Partner with practice and account leaders to build Epics, Stories, and Tasks that mature and improve customer data platforms, delegating effectively to Engineers and ensuring successful and timely delivery.
Practice & Firm Contribution
  • Contribute to internal initiatives such as codifying operational best practices, building accelerators, templates, and playbooks, and enhancing our cloud data platform offerings.
  • Continually hunt for ways to automate and optimize existing processes, tooling, and workflows, and share improvements with the broader team.
  • Train and mentor engineers on new technology stacks, operational practices, and platform standards.
  • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.
Additional Responsibilities
  • Act as a trusted advisor to senior client stakeholders, shaping data platform roadmaps, influencing strategic decisions, and guiding long-term initiatives.
  • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement in cloud data platform operations.
  • Help define and refine practice standards, reusable assets, and delivery frameworks for cloud-native data platforms and managed services.
  • Lead complex incident response and post-incident review efforts, driving systemic improvements that enhance performance, reliability, and user satisfaction.
About You
You are a client-focused technical leader and problem solver who enjoys operating and improving complex cloud data platforms, driving automation, and coaching engineers to deliver reliable, scalable solutions. You are comfortable working in a fast-paced, outcomes-driven environment with distributed, global teams and partnering closely with clients across time zones.
Required Qualifications
Experience
  • 10+ years of experience in modern cloud data platforms, data warehousing, consulting, and data engineering/operations.

Technical / Functional Skills
  • Extensive experience providing architectural guidance and operational support for cloud-native data warehouses such as Snowflake and/or Amazon Redshift across a large user base.
  • Expertise with cloud-native data technologies in AWS and/or Azure, including services such as S3, Aurora, Athena, Redshift, SageMaker, Azure SQL/DevOps, and Azure Data Factory.
  • Production support experience in large enterprise environments supporting cloud data platforms and a variety of cloud data technologies.
  • Strong working knowledge of SQL, with the ability to write, debug, and optimize complex queries for performance and maintainability.
  • Strong troubleshooting, performance tuning, and database administration skills for cloud data platforms.
  • Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
  • Ability to describe specific engineering tasks completed with AI assistance.
Consulting / Delivery Skills
  • Experience delivering projects for external or internal clients in a professional services or consulting environment.
  • Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
  • Strong written and verbal communication skills in English, including the ability to create and deliver detailed presentations to client and internal audiences.
Collaboration & Ownership
  • Demonstrated ability to work effectively with distributed and cross-functional teams (including engineering, analytics, and support) to ensure seamless project delivery and high customer satisfaction.
  • Proven track record of taking ownership, managing multiple priorities across several customer accounts, and delivering high-quality work with minimal supervision.
  • Proven experience learning new technology stacks, training team members, and creating, challenging, and improving processes and procedures.
Education
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
Preferred qualifications help candidates stand out but are not required for success in this role.
  • Production and/or database administration experience and certifications in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, or Databricks.
  • Production experience with cloud and distributed data storage technologies such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems.
  • Production experience with data integration technologies such as Spark, Kafka, event/streaming platforms, StreamSets, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Service, Azure Data Factory, Google Dataproc, or similar tools.
  • Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.
  • Working experience with infrastructure as code using Terraform or CloudFormation.
  • Strong expertise in a scripting language (preferably Python) to automate repetitive tasks and improve operational efficiency.
  • Experience with continuous integration and deployment frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase.
  • Experience as a technical team lead, providing direction, coaching, and support to engineers.
  • Bachelor's degree in Computer Science or a related field.
Location & Time Zone Expectations
This role is based in the US and operates primarily in Central and Eastern time zones.
  • We are a remote-first company, and you should be comfortable working with a distributed global team.
  • Some flexibility may be required to collaborate across time zones with colleagues and clients.
  • Client needs may occasionally require flexibility in working hours to support key milestones or workshops.
Why phData?
  • Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
  • Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
  • Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
  • Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.
Benefits at phData
US:
  • Remote-First Work Environment
  • 401k plan with company match
  • Dental and Vision insurance
  • Home Office Equipment Stipend
  • Annual stipend for Learning and Development
  • Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

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