Data Architect

Accordion•Boston, MA

8h•Hybrid

About The Position

The Data Architect defines data models, integration patterns, governance alignment, and information flow across solutions and platforms. This impactful role will be critical in ensuring data is structured and connected in a way that supports reliable operations, analytics, and AI-enabled capabilities. This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates). This position is not eligible for immigration sponsorship.

Requirements

8+ years of data architecture, data modeling, or enterprise data design experience
Strong knowledge of data integration, data warehousing, APIs, and data governance concepts
Experience supporting operational systems as well as reporting and analytics use cases and comfortability connecting operational systems to broader information strategy
Commitment to focusing on data as an enterprise asset rather than a project byproduct
Ability to work across technical and business stakeholders while remaining analytical, pragmatic, and highly collaborative
Bachelor's degree required

Nice To Haves

Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
A self-starter with a strong work ethic
Full of entrepreneurial spirit and comfortable in a fluid, flat organization
Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
A team player, able to work with team members across all levels
Someone who enjoys mentoring others and doing meaningful work
A leader of others; you lead by example

Responsibilities

Define conceptual and logical data models for platforms, integrations, and analytics use cases
Set standards for data flow, master data handling, metadata, and integration design
Partner with Product and Engineering to ensure data structures support operational and analytical needs
Align application and platform designs to data governance requirements and enterprise standards
Establish patterns for data quality, lineage, access, and stewardship across critical workflows
Support data architecture decisions related to reporting, AI use cases, and system interoperability
Review data-heavy solution designs and identify risks early
Document and evolve target-state data architecture principles
Help teams improve how they design for reusability, quality, and cross-platform consistency