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Data Architect

Data Engineer Part-time Permanent Remote

Job details

Not specified Salary
Remote Eligibility
Lead Experience
Part-time Employment

About this role

Role overview

Lead the architecture and delivery of an enterprise lakehouse that supports self-service analytics across marketing, product, finance, and clinical teams. The role combines hands-on data engineering and modeling with governance, AI-enabled access to data, and leadership of a cross-functional data team in a growth-stage subscription business.

Responsibilities - Design and implement a layered lakehouse architecture and production-grade ingestion pipelines. - Build AI-assisted tools that help business teams query and interpret data independently. - Work with organizational leaders to define shared business terms and context for consistent analytics. - Create data models and dashboards for marketing, product, and financial analysis. - Establish governance practices for data lineage, documentation, quality checks, and access controls. - Mentor data engineers, analytics engineers, and BI analysts; set technical standards and turn stakeholder questions into scalable solutions.

Requirements - At least 10 years in a technical data role, such as data engineering or architecture. - Hands-on skills with Python, PySpark, SQL, dbt, and a lakehouse platform. - Demonstrated experience delivering layered data architectures and reliable production pipelines. - Experience building or deploying AI-powered tools for business users. - Strong understanding of marketing, product, and financial analytics for a growth-stage subscription business. - Experience aligning data definitions with non-technical leaders and leading multidisciplinary data teams. - Growth-stage startup experience and comfort with ambiguity and changing priorities. - Authorization to work in the United States; visa sponsorship is unavailable.

Nice to have - Healthcare or health technology experience. - Experience with machine learning or predictive modeling.

Benefits and work setup Remote-first role. Listed benefits for eligible full-time employees include health, dental, and vision coverage; disability and life coverage; flexible spending accounts; technology and lifestyle spending accounts; federal holidays; and uncapped time off for exempt employees. Compensation may include equity.

Skills detected in the listing

PythonSQLdbtData EngineeringStakeholder ManagementMachine LearningLLM
Detected Nov 11, 2026
Last verified Nov 12, 2026

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