Data Platform Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the data platform from start to finish, including its architecture, reliability, and strategic roadmap encompassing Snowflake, dbt, and Fivetran.

• Transition platform configurations from the user interface into Terraform utilizing Cloud Infrastructure.

• Transform data models from source-shaped marts into domain-focused business models.

• Establish modeling standards, naming conventions, and review methodologies.

• Collaborate with Finance, Sales, Operations, and venue leadership to convert business inquiries into reliable models, metrics, and definitions.

• Work alongside product engineering on schema design, data contracts, and modifications upstream.

• Ensure data quality and observability through testing standards, contracts, reconciliation checks, and alert mechanisms.

• Oversee the metrics and BI layer, which includes the implementation of the BI tool and regulated Snowflake semantic views.

• Initiate conversational analytics and agents using Snowflake native tools with assessments and safeguards.

• Manage access control, PII handling, and documentation across analytics and AI frameworks.

• Supervise and recruit analytics engineers and contracted personnel.

• Provide coaching through code reviews, collaborative work, and clear expectations.

• Develop dbt models, evaluate pull requests, troubleshoot pipelines, and innovate new methodologies.

⛳️ Requirements

• 7+ years of experience in data engineering, analytics engineering, or data architecture, including the development of a modern data platform utilized in production environments.

• Proficient in deploying AI agents for complex tasks such as constructing models, writing tests, debugging pipelines, and documenting systems.

• Extensive knowledge of dbt and Snowflake.

• Proven experience in designing project frameworks, testing strategies, and optimizing warehouse performance at scale.

• Familiarity with managing platforms as code using Terraform or similar tools.

• Expertise in data modeling and transitioning from source-shaped models to business-oriented, domain-specific marts through effective adoption.

• Experience in establishing data quality and observability practices, incorporating tests, contracts, freshness monitoring, and alert systems.

• Skilled in constructing semantic layers and governed metrics.

• Understanding of the accuracy of natural-language and agent-driven analytics.

• Experience with managed ingestion tools like Fivetran.

• Leadership experience as a tech lead, mentor, interviewer, or director overseeing contractors/vendors.

• Capability to communicate technical concepts effectively to both engineers and non-engineers.

• High level of initiative with the ability to set direction, make architectural decisions, and document the rationale behind them.

• Bonus: Familiarity with ThoughtSpot or similar search-driven BI tools.

• Bonus: Knowledge of autonomous agents, fencing, monitoring, and feedback loops for improvement.

• Bonus: Experience with Salesforce, NetSuite, or HRIS data modeling.

• Bonus: Expertise in data preparation for AI applications.

• Bonus: Background in hospitality, events, real estate, or other customer-focused, multi-location businesses.

🏝️ Benefits

• Health coverage starting on day one for you and your family.

• Access to 24/7 virtual care.

• Support for emotional well-being.

• Benefits for fertility and family planning.

• Generous paid time off (PTO).

• A day off for your birthday.

• Paid parental leave.

• Year-end holiday closure.

• 401K plan with company matching.

• Assistance for education, courses, and certifications.

• Continuous opportunities for career advancement.

• Recognition programs.

• Opportunities for volunteering and giving back to the community.