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

VISION INFOTECH INC.Boston, MA🇺🇸United States

Quick overview

SeniorityMid Senior

Work modeRemote

LocationBoston, MA, United States

SQLDatabricksLexisNexisPythonGenerative AI

Hello,

Hope you’re doing well!!

Please find the requirement below. If you find yourself comfortable with the requirement, please reply with your updated resume or call me back at

Position :: Technical Lead with Databricks and AI Experience

Location:: Boston, MA (1 day(Tuesday) in a week onsite)

Duration :: 6+ Months

1 per manager reference

Must have linkedin

Job 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.

Who you are

Qualifications

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