Data Architect

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses.

Overview

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.

Accountabilities & Responsibilities:

Data Architecture & Platform Design

• 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

Solution Governance & Enablement

• 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

Cross-System Data Strategy

• 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

Stakeholder Collaboration & Leadership

• 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

Other:

• 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

Qualifications

Required:

• 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

Preferred:

• 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

Knowledge & Skills

• 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

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