Data Architect
Listed on 2026-07-21
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IT/Tech
Data Engineering, Data Warehousing
At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses.
OverviewAt 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.
- 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, Net Suite, 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
- 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, One Lake, 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
- Experience working with Salesforce data models and integrating Salesforce data into enterprise platforms
- Familiarity with Net Suite 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
- 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…
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