Instructure, Inc. - Director, Data & Analytics Engineering
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• 7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams • Deep expertise in the modern data stack—cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks • Proven ability to define and execute a multi-year data platform strategy • Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences • Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management • Track record of delivering trusted, well-documented, and widely adopted data products • It would be great if you also had: • Hands-on experience integrating AI/LLM tooling into engineering workflows or data products • Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms • Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing • Knowledge of ML infrastructure: feature stores, model serving, vector databases • Exposure to data mesh or data product organizational models • Strong command of SQL and Python • We believe the best data leaders are equal parts engineer, strategist, and people developer. If you are energized by the intersection of platform craft and AI, we encourage you to apply. • Get in on all the awesome at Instructure! • We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. • Comprehensive wellness programs and mental health support • Annual learning and development stipends to support your growth • The technology and tools you need to do your best work • Motivosity employee recognition program • A culture rooted in inclusivity, support, and meaningful connection • We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.
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. • Ensure data platform reliability, observability, SLAs, and incident response, treating the platform as a product with real users. • Drive vendor and tool evaluations for the modern data stack (cloud warehouse, orchestration, cataloging, transformation, reverse ETL, etc.). • Set and enforce data quality, documentation, and governance standards to build trust across the business. • AI-assisted development: Champion use of AI coding assistants and LLM-powered tooling (e.g. Cursor, GitHub Copilot, Claude) to accelerate delivery and reduce toil. • Intelligent data pipelines: Implement AI-native patterns—LLM-generated documentation, anomaly detection, data quality monitoring, and automated root-cause analysis. • Natural language interfaces: Prototype NL-to-SQL and AI-powered BI tools to empower self-serve analytics for non-technical users. • AI platform enablement: Build foundational data infrastructure (feature stores, vector stores, model metadata, evaluation datasets) to enable AI and ML experimentation and scale.
Benefits
• $170K – $200K • Offers Equity • Offers Bonus • 10% annual performance bonus on top of salary • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • No, but I plan to relocate at my own expense • No, and I would require employer support to relocate • Permanent resident / indefinite right to work • Temporary visa with employer-specific authorization • Temporary visa with open / transferable work authorization • I am not currently authorized to work in this country • You may provide a range or write “open to discussion based on total compensation.”This will not affect eligibility for the role. • range • “open to discussion based on total compensation.” • Recruiting Privacy Policy • Instructure, Inc. may use Artificial Intelligence with this application. Learn more.
Similar Jobs
No credit card. Takes 10 seconds.