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Senior Data Platform Engineer Jobs in Wisconsin (NOW HIRING)

Hive-X

WI · On-site

$90 - $120/hr

Profile The senior data warehouse developer is responsible for designing, deploying, securing and managing the cloud data platform in a reliable and cost‑efficient manner. Responsibilities

VITO Research

WI · On-site

$100 - $130/hr

Role Overview XBAT is seeking a Senior Data & Cloud Operations Engineer who will take full ... This role combines data engineering, cloud architecture, platform reliability, advanced ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Demonstrated capabilities designing, implementing, and supporting cloud-native data platforms ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Demonstrated capabilities designing, implementing, and supporting cloud-native data platforms ...

Jan De Nul

WI · On-site

... digitalization and data play an increasingly important role in offshore, dredging, and ... We are looking for a medior to senior profile with strong knowledge of the Microsoft Power Platform ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider ...

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

... with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model ... platform using Spark, AWS EMR, MWAA, WMLA, Spectrum Conductor, Airflow, and MLFlow; 4 years ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider ...

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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 Wisconsin?

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

Senior Data Platform Engineer jobs near you

Datawarehouse Developer Senior - Belgium (Hybrid)

Hive-X

WI • On-site

$90 - $120/hr

Other

Posted 17 days ago

Job description

ABOUT US The Ghent University Hospital (UZG) is a university hospital in Ghent. As a leading university hospital, we strive for top quality care and combine warmth and empathy for our patients and employees with bold innovations. We invest thoughtfully in research, in state‑of‑the‑art infrastructure and technology, in education and development and in effective organizational forms. The result is a high‑quality and efficient healthcare offering that is tailored to our unique expertise and that we offer within a sustainable framework.

Profile

The senior data warehouse developer is responsible for designing, deploying, securing and managing the cloud data platform in a reliable and cost‑efficient manner.

Responsibilities
  • Designing and implementing the cloud infrastructure (Azure), including compute, storage and networking.
  • Establish and maintain DevOps practices: CI/CD pipelines, environments (dev/test/prod), monitoring and alerting.
  • Implement security and access controls in accordance with the ICT policy.
  • Automate platform operations to reduce manual work and risk.
  • Ensure that the platform is production‑ready and operationally robust.
  • Guarantee security, access control and compliance (IAM, networks, secrets, GDPR‑by‑design).
  • Monitor performance, reliability and costs of the data platform.
  • Support DevOps, DataOps, and MLOps practices across analytics and AI workloads.
Experience
  • Several years of experience in deploying and keeping cloud environments operational, preferably Azure.
  • Experience setting up CI/CD pipelines and automating platform operations.
  • Works smoothly within enterprise ICT standards and compliance frameworks (GDPR, IAM, security policies).
Skills
  • Strong knowledge of Azure: networking, storage, compute and security.
  • Fluent with Infrastructure as Code (e.g. Terraform, Bicep, ARM) and CI/CD tooling (Azure DevOps, GitHub Actions).
  • Setting up monitoring, alerting, logging and cost management at platform level.
  • Knowledge of IAM, secrets management, private endpoints and network segmentation.
Character Traits
  • Senior mindset: coaches junior engineers and monitors platform standards.
  • Automation reflex: if it has to happen twice, it will be scripted.
  • Reliability‑oriented: stability, performance and safety as standard.
  • Hands‑on and pragmatic problem solving.
  • Collaborative with ICT, governance and the data teams.
  • Operational discipline and an eye for neat documentation.
  • Act according to the 3 core values of the UZG: respectful, honest and responsible.
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