
1001 - 5000 employees
Founded 2000
âď¸ SaaS
đ¤ 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.
đ 5 days ago
đď¸ District of Columbia, New York, +1 more states â Remote
đľ $160k - $172k / year
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
đŚ H1B Visa Sponsor
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1001 - 5000 employees
Founded 2000
âď¸ SaaS
đ¤ 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.
⢠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.
⢠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. ⢠Experience managing a team or direct report.
⢠healthcare ⢠life and disability coverage ⢠401K with company match ⢠paid sick and personal time off ⢠paid parental leave
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