[Hiring] Data Platform Lead @Convene

Role Description

We’re hiring a hands-on Data Platform Lead, to join Convene Hospitality Group’s (CHG) Technology organization. You’ll own our data platform end to end, from architecture to how we model the business, and you’ll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data.

Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You’ll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer.

Today we run Snowflake, dbt, and Fivetran. You’ll help us rearchitect for where CHG is headed: building on Snowflake’s native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability.

This is a hands-on management role, open to first-time managers. If you’ve led as a tech lead, mentored engineers, or directed contractors, you’ll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too.

What You’ll Do:

• Own the data platform end to end.
• Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran.
• Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure.
• Rethink how we model the business.
• Move us from source-shaped marts to domain-oriented models built around how CHG runs.
• Set the modeling standards, naming conventions and review practices the team builds on.
• Work backward from the business question.
• Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust.
• Partner closely with product engineering.
• Work with product squads on schema design, data contracts, and upstream changes.
• Own data quality and observability.
• Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy.
• Own the metrics and BI layer.
• Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views.
• Bring conversational analytics online, safely.
• Stand up natural-language querying and agents on Snowflake’s native tools.
• Govern the data.
• Access control, PII handling and accessible documentation across analytics and AI.
• Lead and grow analytics engineering.
• Manage and hire our analytics engineers, and direct the contractors we work with today.
• Keep your hands on the keyboard.
• Write dbt models, review PRs, debug pipelines and prototype new approaches.

Qualifications

• You have 7+ years in data engineering, analytics engineering or data architecture.
• You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists.
• You're deep on dbt and Snowflake.
• You’re fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts.
• You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting.
• You've built a semantic layer and governed metrics that people trust.
• You've worked with managed ingestion like Fivetran.
• You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors.
• You explain clearly to engineers and non-engineers.
• You're high agency.

Bonus Points

• You've rolled out ThoughtSpot or another search-driven BI tool.
• You’ve unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it.
• You've modeled data from Salesforce, NetSuite or HRIS platforms.
• You've prepared data for AI use cases: retrieval, agents or feature pipelines.
• You've worked in hospitality, events, real estate or another customer-centric, multi-location business.

Compensation

• Base Salary Range: $180,000 – $200,000
• Total Target Compensation: $198,000 – $220,000 (includes base salary + annual incentive performance bonus)

Benefits

• Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits.
• Generous PTO, your birthday off, paid parental leave, and a year-end holiday closure.
• 401K with company match and support for education, courses, and certifications.
• Ongoing career growth opportunities plus recognition programs to celebrate milestones.
• Volunteer and give-back opportunities, and the chance to make a real impact in the work you do.