Data Architect

🕒 May 21

🏛️ District of Columbia, New York, +2 more states – Remote

🏛️ District of Columbia – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote

💵 $156.6k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Axiom

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

☁️ SaaS

🤝 B2B

Legal • SaaS • B2B

Axiom is a company that provides legal services and law-related technology, simplifying the process of managing legal accounts for users. Their focus on accessibility and user-friendly processes highlights their commitment to modernizing the legal experience.

📋 Description

• Design, document, and maintain Axiom's enterprise data model, ensuring coherence and consistency across disparate systems and platforms. • Establish and enforce data governance policies, data quality standards, and associated assurance mechanisms to ensure the reliability and integrity of organizational data assets. • In coordination with the VP, Enterprise Applications, define and maintain the data architecture roadmap, including effort scoping, dependency identification, and alignment with enterprise technology strategy. • Directly manage the Data Engineer; provide technical mentorship, set priorities, and support professional development. • Serve as the primary data architecture liaison to the Product, Operations, and Data Science functions. • In coordination with the VP, Enterprise Applications, evaluate and determine the technology stack for AI solutions and other data initiatives. • Collaborate with the VP, Enterprise Applications and Integrations Lead to reconcile roadmap priorities and ensure integration-produced data meets enterprise data model standards. • Participate collaboratively in the design and implementation of Model Context Protocol integrations, enabling AI tooling to access Axiom's information assets. • Administer and govern the Databricks environment in coordination with the Data Engineer. • Establish and maintain data documentation standards: entity definitions, lineage, ownership, and access policies.

🎯 Requirements

• 7+ years of progressive experience in data architecture, data engineering, or a related technical discipline. • Demonstrated experience designing and implementing enterprise data models in complex, multi-system environments. • Substantive knowledge of data governance frameworks and data quality methodologies, including practical production implementation. • Strong SQL DDL and DML skills. • Fluency in at least one general-purpose programming language; Python preferred. • Familiarity with enterprise application platforms relevant to Axiom's environment: Databricks, Salesforce, Workday, or comparable systems. • Demonstrated experience leading technical personnel and developing engineering talent. • Exceptional written and oral communication skills, including the ability to convey complex data concepts to non-technical stakeholders. • Experience with Model Context Protocol (MCP) or analogous AI data access patterns, a plus. • Experience operating within matrixed organizational structures requiring negotiation of priorities across teams.

🏖️ Benefits

• healthcare • life and disability coverage • 401K with company match • paid sick and personal time off • paid parental leave