(Mostly Remote)Required Technical Lead with Databricks and AI Experience, Boston, MA (1 day(Tuesday) in a week onsite)

Looking for heavy Databricks integrating with AI.

• Databrick and data engineering depth is so important- if they have integrated anything into Databricks, they will do well. If they don’t have SMP, LexisNexis, that is ok, as long as they have something similar
• Databricks/data engineering
• Glean/AI platforms

• third party data licensing/usage rights

• Work with TEAMS senior leaders to map Client’s portfolio of third-party subscription services, including cost, contract terms, licensing constraints, and permitted data usage.
• Translate contract requirements into clear, practical rules that technology and AI Teams can build against.
• Set the integration principles
• Create guiding principles for how third-party data is integrated into our evolving architecture with Glean, agents, Databricks, Claude and ChatGPT.
• Define how Client’s proprietary internal applications that use third-party data are differentiated from the raw subscription data, including what can be derived, stored, surfaced, and shared.
• Document guidelines and a repeatable integration pattern so future sources are onboarded consistently.
• Shape the case team experience
• Work with TEAMS stakeholders to understand the experience they want to offer case Teams, and convert it into clear requirements.
• Partner closely with the TEAMS innovation team, a key stakeholder, so integration choices support their priorities and pilots.
• Deliver with technology and AI Teams
• Work with technology and AI Teams to integrate sources appropriately, reviewing designs and implementations against the agreed principles.
• Stay hands-on: prototype, review data models and code, and validate that integrations behave as contracts allow.
• Give TEAMS and technology leaders concise updates on progress, risks, trade-offs, and decisions needed.

• 10+ or more years of experience in data architecture, data engineering, or technical product leadership, with significant hands-on delivery
• Hands-on experience with a modern data platform such as Databricks, plus strong SQL and Python skills
• Experience integrating data into enterprise search, AI assistants, or agent-based solutions; familiarity with Glean or comparable platforms is a strong plus
• Working knowledge of data licensing, subscription models, and usage rights, with the ability to turn contract terms into technical guardrails
• Track record of setting architecture principles or standaTeams that multiple Teams adopt
• Experience working with third-party data providers or information services, ideally in a professional services or research environment
• Bachelor’s degree or equivalent professional experience in a technical or related field