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Convene

Leases premium flexible workspaces and venues

Data Platform Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production.
  • You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system.
  • You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar.
  • You’re fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption.
  • You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust.
  • You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate.
  • You've worked with managed ingestion like Fivetran and know where it fits and where it breaks.
  • 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 can walk an analyst through a modeling decision and a CFO through a metric definition.
  • You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning.

Responsibilities

  • 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, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible.
  • Rethink how we model the business by moving from source-shaped marts to domain-oriented models built around how the company runs. Set the modeling standards, naming conventions and review practices the team builds on.
  • Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust.
  • Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together.
  • Own data quality and observability by setting testing standards, contracts, and reconciliation checks, and alerting an owner before a stakeholder finds a broken dashboard.
  • Own the metrics and BI layer. Roll out the BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions.
  • Stand up natural-language querying and agents on Snowflake’s native tools, with evaluations and guardrails that keep agent, dashboard, and human answers in sync.
  • Govern the data through access control, personally identifiable information handling and accessible documentation across analytics and AI.
  • Lead and grow analytics engineering. Manage and hire analytics engineers, direct current contractors, and coach through code review, pairing, and clear expectations.
  • Write dbt models, review pull requests, debug pipelines and prototype new approaches.

Desired Qualifications

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

About the Company

Convene

Leases premium flexible workspaces and venues

Convene provides premium flexible offices, meeting rooms, and event venues for corporate clients. It partners with landlords to design, build, and manage Class A office spaces without owning the buildings, enabling a capital-efficient business. Revenue comes from leasing spaces, renting meeting rooms and venues, and offering services like catering and technology support. It differentiates itself through premium design—curated furniture, art, and seasonal menus—as well as the convenience of turnkey spaces and services. The goal is to expand a network of high-quality, flexible workspaces and event venues for enterprises, balancing strong service offerings with scalable landlord partnerships.

Company size
501-1,000
Company stage
Series D
Total funding
$265.5M
Headquarters
New York City, New York
Founded
2009

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