Data Platform Lead

🕒 6 days ago

🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Convene's careers page, not through a job board

First seen by Remote Rocketship 6 days ago

Still open on Convene's site. Checked 3 hours ago.

Logo of Convene

Convene

501 - 1000 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Convene creates dynamic work experiences through a network of 25+ premium meeting, event, and office locations and digital meeting technology. Founded in 2009, it focuses on enhancing professional meetings by providing a combination of beautiful designs, advanced technology, and a strong emphasis on hospitality. The company has expanded its offerings to include flexible workplace locations, virtual meetings, and hybrid meetings, catering to the needs of planners and business professionals.

📋 Description

• Own the data platform end to end, including architecture, reliability, and roadmap across Snowflake, dbt, and Fivetran • Move platform configuration from the UI into Terraform with Cloud Infrastructure • Reshape data models from source-shaped marts to domain-oriented business models • Set modeling standards, naming conventions, and review practices • Partner with Finance, Sales, Operations, and venue leadership to turn business questions into trusted models, metrics, and definitions • Partner with product engineering on schema design, data contracts, and upstream changes • Own data quality and observability through testing standards, contracts, reconciliation checks, and alerting • Own the metrics and BI layer, including rolling out the BI tool and governed Snowflake semantic views • Launch conversational analytics and agents on Snowflake native tools with evaluations and guardrails • Govern access control, PII handling, and documentation across analytics and AI • Manage and hire analytics engineers and direct contractors • Coach through code review, pairing, and clear expectations • Write dbt models, review pull requests, debug pipelines, and prototype new approaches

🎯 Requirements

• 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform relied on in production • Experience using AI agents for multi-step work such as building models, writing tests, debugging pipelines, and documenting systems • Deep expertise in dbt and Snowflake • Experience designing project structure, testing strategy, and warehouse performance at scale • Experience managing platforms as code with Terraform or similar • Fluency in data modeling and experience moving from source-shaped models to business-shaped, domain-oriented marts through adoption • Experience building data quality and observability practices, including tests, contracts, freshness monitoring, and alerting • Experience building semantic layers and governed metrics • Understanding of natural-language and agent-driven analytics accuracy • Experience with managed ingestion such as Fivetran • Leadership experience as a tech lead, mentor, interviewer, or director of contractors/vendors • Ability to explain technical concepts to engineers and non-engineers • High agency and ability to set direction, make architecture decisions, and document reasoning • Bonus: ThoughtSpot or another search-driven BI tool • Bonus: Autonomous agents, fencing, monitoring, and improvement loops • Bonus: Salesforce, NetSuite, or HRIS data modeling • Bonus: Data preparation for AI use cases • Bonus: Hospitality, events, real estate, or other customer-centric, multi-location business experience

🏖️ Benefits

• Day-one health coverage for you and your family • 24/7 virtual care • Emotional well-being support • Fertility and family planning benefits • Generous PTO • Birthday off • Paid parental leave • Year-end holiday closure • 401K with company match • Support for education, courses, and certifications • Ongoing career growth opportunities • Recognition programs • Volunteer and give-back opportunities

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