Director, Data & Analytics Engineering

InstructureUS-REMOTERemotefull_timedirector

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Tech Stack

Snowflake BigQuery Databricks Dbt Airflow Dagster

Responsibilities

Define and own the multi-year roadmap for the data platform, aligning investments in infrastructure, tooling, and headcount with business strategy.
Lead and grow two high-performing teams—Data Engineering and Analytics Engineering—cultivating a collaborative, feedback-rich environment with clear career pathways.
Architect and oversee scalable data pipelines across ingestion, transformation, orchestration, and delivery, for both batch and streaming use cases.
Champion best practices in analytics engineering, including semantic layer design, dbt modelling standards, data contracts, and metrics governance.
Partner with Data & Decision Science, Product, Finance, and Commercial teams to deliver high-quality, self-serve data solutions aligned to business needs.

Soft Skills

Team LeadershipStakeholder ManagementMentoringPerformance Management

Benefits

Equity
Flexible PTO
Learning Budget
Mental Health
Remote Work

Culture

AI-FirstRemote WorkCross-Functional TeamsMentorship ProgramLearning BudgetInclusive Hiring

About Instructure

Industry: edtech

Size: large

Instructure creates intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. They are looking for a Digital Knowledge Master to structure their knowledge base for future AI strategy and Agentic AI ingestion.

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Compensation

Equity: All full-time employees participate in our ownership program.

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