SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 180,000 - 200,000 / annual
Convene Hospitality Group is seeking a hands-on Data Platform Lead to join the Technology organization. This is a management role responsible for owning the data platform end-to-end, from architecture to business modeling, while managing a team of analytics engineers.
Key responsibilities include:
• Own the complete data platform architecture, reliability, and roadmap across Snowflake, dbt, and Fivetran. Migrate platform configuration from UI to Terraform for version control and reproducibility.
• Rethink business modeling by transitioning from source-shaped marts to domain-oriented models aligned with how the business operates. Establish modeling standards, naming conventions, and code review practices.
• Partner with Finance, Sales, Operations, and venue leadership to translate business questions into trusted models, metrics, and definitions.
• Collaborate closely with product engineering teams on schema design, data contracts, and upstream changes to ensure platform and product evolution align.
• Establish and own data quality and observability practices, including testing standards, data contracts, and reconciliation checks that alert owners before stakeholders discover issues.
• Own the metrics and BI layer by rolling out BI tools, building semantic layers in Snowflake with certified metrics and shared definitions.
• Implement conversational analytics and natural-language querying on Snowflake's native tools with appropriate evals and guardrails.
• Govern data access, PII handling, and documentation across analytics and AI systems.
• Lead, hire, and grow the analytics engineering team. Coach through code review, pairing, and clear expectations.
• Remain hands-on: write dbt models, review PRs, debug pipelines, and prototype new approaches.
The role is open to first-time managers with tech lead or mentoring experience, with direct coaching from a VP of Engineering. Experienced managers who want to continue building are also welcome.
REQUIREMENTS:
• 7+ years in data engineering, analytics engineering, or data architecture, including building modern data platforms in production
• Hands-on experience using AI agents for multi-step work: building models, writing tests, debugging pipelines, documenting systems
• Deep expertise in dbt and Snowflake, including project structure design, testing strategy, warehouse performance optimization, and platform-as-code management with Terraform or similar
• Demonstrated experience moving teams from source-shaped models to business-shaped, domain-oriented marts with successful adoption
• Built data quality and observability practices: tests, contracts, freshness monitoring, and trusted alerting
• Experience building semantic layers and governed metrics; understanding of natural-language and agent-driven analytics accuracy requirements
• Familiarity with managed ingestion tools like Fivetran and knowledge of their strengths and limitations
• Leadership experience beyond individual work: tech lead on multi-person projects, mentoring engineers, running interview loops, or directing contractors/vendors
• Strong communication skills with both technical and non-technical audiences
• High agency: sets direction independently, makes architecture decisions, and documents reasoning
BONUS:
• ThoughtSpot or similar search-driven BI tool rollout experience
• Experience deploying autonomous agents with monitoring and improvement loops
• Data modeling from Salesforce, NetSuite, or HRIS platforms
• Data preparation for AI use cases: retrieval, agents, or feature pipelines
• Background in hospitality, events, real estate, or multi-location customer-centric businesses
