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Director of Data & Analytics Engineering

Amplify

full-remoteleadpermanentdataengineering-management Full remote Today via WTTJ

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Tags

Data EngineeringAnalytics EngineeringETL/ELTSnowflakedbtSQLPythonTerraformData ObservabilityLooker

About the role

Role Overview

Join Amplify as Director of Data & Analytics Engineering in a strategic and hands-on leadership role. You will lead the development of scalable data platforms, pipelines, and models that help teams make data-informed decisions. You will also build and grow a high-performing team of managers and engineers.

Responsibilities

  • Lead data platform, pipeline, and model development to enable organization-wide data-driven decision making.
  • Own and guide architectural decisions, including innovative architectures and technology stack choices.
  • Lead people and team growth: coaching, mentoring, career development, and building a strong leadership bench.
  • Partner cross-functionally with data science, AI, product, and engineering teams.
  • Improve data observability and reliability, proactively monitoring pipeline health and data quality.
  • Drive multi-year strategy and planning (e.g., annual OKRs and roadmaps) across multiple teams.

Requirements

  • 10+ years in data engineering, analytics engineering, or related fields, with hands-on experience in a modern data stack.
  • ETL/ELT pipeline design and data modeling, including data platform architecture.
  • Experience with BI tools such as Looker and Tableau.
  • Strong skills with modern tooling, including dbt, Snowflake, SQL, Python, and Terraform.
  • People management: 5+ years managing teams, including 3+ years managing managers.
  • Experience with data observability and reliability tools (e.g., Monte Carlo, dbt tests, Great Expectations).
  • Excellent communication with non-technical stakeholders.

Nice-to-haves

  • Familiarity with agentic coding tools and AI-assisted development workflows (e.g., Claude Code, Snowflake Cortex).
  • Experience with metadata management tools (e.g., Atlan).
  • Knowledge of lakehouse data modeling paradigms, including Kimball dimensional modeling and one-big-table (OBT).
  • Exposure to emerging agentic analytics tools (e.g., natural language querying, text-to-analytics).
  • Experience in education/ed-tech.
  • Demonstrated curiosity via open-source contributions, personal projects, or ongoing education.

About Amplify

Amplify is an education technology company focused on helping teams and learners through data-driven products. The role sits within its data and analytics function, partnering across data science, AI, product, and engineering to enable scalable data platforms and analytics engineering.

Scraped 5/12/2026

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