Data Platform Engineer

Tactile Medical•Minneapolis, MN

3d•$100,500 - $150,675

About The Position

At Tactile Medical, we are building a modern, scalable data platform on Microsoft Fabric to support enterprise analytics, reporting, and future data capabilities. The Data Platform Engineer will play a critical role in maturing and operationalizing this platform, ensuring it is reliable, efficient, and easy for teams to use. This role is responsible for translating architectural standards into practical, reusable platform patterns, while improving performance, reliability, and cost efficiency. As a highly visible contributor within IT, the Data Platform Engineer will combine hands-on technical expertise with mentorship and cross-functional collaboration to enable data engineers and BI teams to deliver high-quality solutions at scale.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent work experience)
5+ years of experience in data engineering, ETL development, or data platform engineering
Experience working with Microsoft Fabric or related technologies (e.g., Azure Data Factory, OneLake, Synapse, Power BI)
Strong hands-on experience building data pipelines (ETL/ELT) across multiple systems
Experience implementing data integration and transformation solutions in a scalable environment
Strong hands-on technical skills with the ability to design, build, and optimize data pipelines and platform components
Deep understanding of data integration concepts, including ingestion, transformation, and loading from disparate systems
Knowledge of platform reliability, monitoring, and operational best practices
Ability to establish and enforce standards while remaining pragmatic and delivery-focused
Experience mentoring others and elevating team capabilities through coaching and guidance
Strong collaboration skills with the ability to work effectively across engineering, architecture, and analytics teams
Clear and effective communicator with the ability to explain technical concepts to technical audiences
High ownership mindset with the ability to build processes and standards in a growing environment
Adaptable and solution-oriented, with a focus on continuous improvement and scalability

Nice To Haves

Experience designing and implementing modern data architectures (e.g., medallion architecture, Lakehouse)
Familiarity with enterprise data platforms supporting analytics and BI use cases
Experience working in mid-sized organizations or environments requiring both hands-on work and strategic contribution
Exposure to regulated industries such as healthcare or medical device

Responsibilities

Design and maintain Microsoft Fabric workspace standards, including dev/test/prod environments and naming conventions
Configure and support core platform components such as pipelines, datasets, semantic models, and Lakehouse architecture
Develop and document reusable platform patterns and best practices to promote consistency and scalability
Partner with the Data Architect to implement and operationalize enterprise architecture standards
Design, build, and maintain data pipelines to ingest, transform, and load data from multiple source systems
Implement scalable data integration solutions across disparate systems
Apply medallion architecture and other modern data engineering practices
Contribute hands-on development to support platform and data delivery needs
Establish and maintain platform monitoring practices, including pipeline failures, dataset refreshes, and dependencies
Configure alerts, dashboards, and runbooks to proactively identify and resolve issues
Troubleshoot platform performance, reliability, and operational challenges
Improve overall platform stability to ensure a consistent and trusted user experience
Implement and maintain role-based access controls across workspaces and datasets
Support onboarding, access changes, and offboarding through standardized processes
Monitor and optimize platform usage, balancing cost, performance, and scalability
Contribute to governance practices that ensure secure and responsible data usage
Mentor data engineers and technical team members on platform standards, patterns, and best practices
Partner with cross-functional teams to support adoption and effective use of the data platform
Communicate platform capabilities and constraints clearly to technical stakeholders
Help establish processes and standards in a growing, evolving data environment
Participate in platform and data strategy discussions
Contribute to continuous improvement of engineering practices and platform capabilities
Perform additional duties as assigned