Director of Data & Analytics Engineering

Amplify is a pioneer in K–12 education, leading the way in next-generation curriculum and assessment. They are seeking a strategic and hands-on Director of Data & Analytics Engineering to oversee the development of scalable data platforms and empower teams to make data-informed decisions.

Responsibilities:

• Own and drive technical vision, architectural strategy, and cross-functional alignment across data and analytics engineering, while developing and empowering engineering managers to build, grow, and retain high-performing teams
• Guide and oversee architectural decisions to innovative architectures and tech stack decisions while fostering strong technical practices across data modeling, ingestion, ELT pipelines, MLOps, and platform operations
• Develop and implement data engineering and analytics engineering strategy in collaboration with the VP of Data and peer directors
• Provide leadership, career development, coaching, mentoring, and building a strong leadership bench within the department
• Be accountable for the successful delivery of annual OKRs and ensuring consistent execution against roadmap commitments across teams, leveraging best practices in estimation, requirements analysis, and balancing trade-offs
• Work closely with business, product, data science, and engineering teams to ensure the data department develops tools that solve the most critical analytics challenges
• Evaluate build vs. buy decisions for tooling, manage vendor relationships, and optimize cloud infrastructure costs
• Champion the adoption and responsible use of agentic coding and analytics tools (e.g. Claude Code, Snowflake Cortex), establishing best practices for AI-assisted development and AI-augmented analytics workflows

Requirements:

• Bachelor's degree in a relevant field (e.g. computer science, data science, engineering, mathematics) or equivalent experience
• 10+ years of experience in data engineering, analytics engineering, or related fields, including hands-on experience with modern data stack technologies (e.g., dbt, Snowflake, SQL, Python, Terraform)
• 5+ years of people management experience, including 3+ years managing managers
• Proven ability to develop multi-year strategy and facilitate goal-setting processes (e.g. annual OKRs, product roadmaps) across multiple teams
• Experience with ETL/ELT pipeline design, data modeling, data platform architecture, and BI tools such as Looker and Tableau
• Experience with data observability and reliability tools (e.g. Monte Carlo, dbt tests, Great Expectations) to proactively monitor pipeline health and data quality
• Familiarity with agentic coding tools (e.g. Claude Code, Snowflake Cortex), and AI-assisted development workflows, and a demonstrated ability to drive adoption of emerging technologies
• Excellent communication and interpersonal skills, especially with non-technical partners
• Experience with metadata management tools such as Atlan
• Understanding of data modeling paradigms within a lakehouse environment and the judgment to apply the right architecture for the problem, from dimensional modeling (Kimball) and one-big-table (OBT)
• Familiarity with emerging agentic analytics tools such as natural language querying (NLQ), text-to-analytics
• Demonstrated curiosity and continuous learning through open-source contributions, personal projects, or ongoing education
• Experience in education or ed-tech