Data Architect

Tactile Medical•Minneapolis, MN

10d•$100,500 - $150,975

About The Position

At Tactile Medical, we are evolving our data capabilities from report-driven analytics to a scalable, enterprise data platform built on Microsoft Fabric. The Data Architect will play a critical role in designing and governing the end-to-end data ecosystem, ensuring consistency, scalability, and long-term sustainability. This role is responsible for establishing enterprise data architecture standards, connecting disparate systems, and enabling a unified data foundation that supports reporting, self-service analytics, and future AI/ML capabilities. As a highly visible, strategic partner to IT leadership, the Data Architect will balance hands-on technical work with architectural governance and cross-functional collaboration while helping to mature data practices across the organization.

Requirements

Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related field (or equivalent work experience)
5+ years of experience in data architecture, data modeling, or enterprise data design
Experience designing and implementing data solutions using Microsoft Fabric or related technologies (e.g., Azure Data Factory, Lakehouse, OneLake, Power BI)
Strong experience building dimensional data models (e.g., star schema) and semantic layers
Experience translating technical data structures into business-friendly data models and insights
Strong systems thinking with the ability to design end-to-end data architectures across multiple platforms
Ability to define and maintain canonical data models across disparate systems
Proven ability to balance short-term delivery needs with long-term scalability and sustainability
Comfortable influencing decisions and driving alignment without formal authority
Strong communication skills with the ability to translate complex technical concepts into clear business language
Hands-on technical capability with a willingness to contribute to development when needed
Experience working in evolving environments where processes and standards are being established
Collaborative, adaptable, and pragmatic approach to problem-solving
High level of ownership with a focus on building scalable, reusable solutions

Nice To Haves

Experience working with Salesforce data models and integrating Salesforce data into enterprise platforms
Familiarity with NetSuite and/or Brightree data structures
Experience in healthcare, medical device, or other regulated environments
Background in mid-sized organizations or consulting environments with hands-on responsibilities

Responsibilities

Define and maintain enterprise data architecture standards, frameworks, and reference models
Design end-to-end Microsoft Fabric solutions, including Lakehouse, Warehouse, semantic models, and reporting layers
Establish scalable data modeling standards, including dimensional (star schema) and semantic modeling practices
Define environment and workspace strategies (dev, test, prod) to support reliable and repeatable delivery
Review and guide data solution designs to ensure alignment with enterprise architecture standards
Partner with Data Platform Engineering to establish reusable patterns, pipelines, and platform capabilities
Evaluate tradeoffs between speed, scalability, and long-term maintainability, providing clear recommendations
Enable consistent use of shared datasets, metrics, and semantic models across the organization
Design and document data flows, lineage, and ownership across systems and platforms
Define canonical data models to ensure consistency across core systems such as Salesforce, NetSuite, and Brightree
Align data definitions across the organization to reduce duplication and improve data quality
Establish architectural guardrails that support governance, metadata management, and appropriate data access
Partner with business and technical stakeholders to translate data needs into scalable architectural solutions
Communicate complex architectural concepts and tradeoffs to both technical and non-technical audiences
Mentor and educate team members on data architecture standards, best practices, and emerging capabilities
Serve as a strategic partner to IT leadership, helping shape the organization’s long-term data strategy
Participate in key architecture and data strategy discussions across the organization
Contribute to continuous improvement of data platform capabilities and processes
Perform additional duties as assigned