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

- **Company:** VISION INFOTECH INC.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Python (Programming Language), Standard Sql, Enterprise Search, Lexis, Usage Tracking, AI Platforms, Claude, GPT, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/c7cc0045-7a3e-43ce-a70c-9343f41d3dac

## About the Role

* 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

## Description

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.