Senior Data Architect

Soni; New York (NY); On-site; USD 145,000 - 200,000; Full time

Job summary

Soni seeks a Senior Data Architect to lead the design and governance of an enterprise data platform, establishing Data Vault 2.0, a scalable canonical data model, and AI-ready architecture in a greenfield environment. You will define data standards supporting analytics, AI, and enterprise data products while partnering with engineering, product, and business stakeholders.

The role emphasizes leadership, architecture governance, and collaboration with legal and business teams to translate complex

Qualifications

• 10+ years of experience in data architecture or enterprise data modeling.
• Deep expertise in Data Vault 2.0 and enterprise canonical data modeling.
• Strong hands-on experience with Databricks, Delta Lake, Unity Catalog, SQL, and Lakehouse architecture.
• Experience defining enterprise data standards in greenfield or transformation environments.
• Excellent communication skills with technical and business stakeholders.
• Experience with AI-ready data platforms, Agile delivery, and cross-functional leadership.

Responsibilities

• Lead enterprise data architecture and canonical data modeling across key business domains (Client, Matter, Timekeeper, Firm, Practice Group, Jurisdiction).
• Establish and govern Data Vault 2.0 standards, including Hubs, Links, Satellites, Business Vault, historization, and data lineage.
• Define architecture standards for Databricks Lakehouse, Delta Lake, Unity Catalog, semantic layers, and product-facing data models.
• Ensure data architecture supports AI initiatives, including LLMs, RAG, vector search, and AI-powered analytics.
• Provide architectural governance, documentation, design standards, and technical leadership across data engineering teams.
• Partner with business and legal stakeholders to translate complex processes into scalable data solutions.
• Mentor engineers, conduct architecture reviews, and promote best practices for scalable, maintainable data engineering.

Skills

Data Vault 2.0

10+ years experience

Databricks

Delta Lake

Unity Catalog

SQL

AI-ready architecture

Cross-functional leadership

Communication with stakeholders

Tools

Databricks

Delta Lake

Unity Catalog

Job description

Our client is seeking a Senior Data Architect to lead the design and governance of an enterprise data platform, establishing Data Vault 2.0, a scalable canonical data model, and AI-ready architecture within a greenfield environment. This role will define data standards supporting analytics, AI, and enterprise data products while partnering closely with engineering, product, and business stakeholders.

Responsibilities

• Lead enterprise data architecture and canonical data modeling across key business domains (Client, Matter, Timekeeper, Firm, Practice Group, Jurisdiction).
• Establish and govern Data Vault 2.0 standards, including Hubs, Links, Satellites, Business Vault, historization, and data lineage.
• Define architecture standards for Databricks Lakehouse, Delta Lake, Unity Catalog, semantic layers, and product-facing data models.
• Ensure data architecture supports AI initiatives, including LLMs, RAG, vector search, and AI-powered analytics.
• Provide architectural governance, documentation, design standards, and technical leadership across data engineering teams.
• Partner with business and legal stakeholders to translate complex processes into scalable data solutions.
• Mentor engineers, conduct architecture reviews, and promote best practices for scalable, maintainable data engineering.

Qualifications

• 10+ years of experience in data architecture or enterprise data modeling.
• Deep expertise in Data Vault 2.0 and enterprise canonical data modeling.
• Strong hands‑on experience with Databricks, Delta Lake, Unity Catalog, SQL, and Lakehouse architecture.
• Experience defining enterprise data standards in greenfield or transformation environments.
• Excellent communication skills with technical and business stakeholders.
• Experience with AI-ready data platforms, Agile delivery, and cross-functional leadership.

Preferred

• Experience in legal, professional services, or similarly complex industries.
• Knowledge of legal systems (e.g., Elite 3E), MDM, dbt, Delta Sharing, and AI platforms.
• Data architecture certifications (Data Vault 2.0, CDMP, DAMA) are a plus.
• Experience with AI-assisted development tools such as GitHub Copilot or Claude Code.

Compensation

$145,000 to $200,000

Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.