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About the Role
Success Academy is seeking a visionary, technically grounded Leader of Analytics Engineering & Semantic Architecture to guide their data modeling and technical analytics team. This role will lead the evolution of the enterprise data warehouse presentation layer, owning the strategy, design, and optimization of unified semantic layers for BI platforms and AI insights. The leader will manage a team focused on transforming raw warehouse models into performant, well-governed, business-ready presentation assets.
Responsibilities
- Lead, inspire, and deeply mentor a team of analytics engineers and data modelers, cultivating software engineering best practices, robust testing frameworks, version control, and technical execution excellence.
- Design, build, and optimize enterprise-grade semantic (presentation) layers on top of a modern cloud data warehouse to establish a unified single source of truth across operational, financial, and academic domains.
- Structurally architect data presentation models to seamlessly support modern analytics frameworks, natural language querying tools, automated anomaly detection, and emergent AI-driven insights engines.
- Enforce modern analytics engineering standards— including dimensional modeling (Kimball star schema), dbt pipelines, DAG orchestration workflows, and automated data validation.
- Partner with data architecture, software engineering, and business leadership to translate complex institutional logic into scalable, self-serve data models, moving from ad-hoc ticket handling to proactive semantic infrastructure.
Requirements
- 6+ years of progressive experience in analytics engineering, data engineering, or enterprise data warehousing.
- 2–3+ years successfully managing direct technical reports in a modern data environment.
- Expert-level SQL skills.
- Hands-on mastery of dbt (data build tool).
- Hands-on mastery of pipeline orchestration (e.g., Airflow, Dagster).
- Hands-on mastery of schema optimization over cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Proven track record of architecting, improving, and maintaining robust presentation/semantic layers (e.g., dbt Semantic Layer, Cube, MetricFlow, LookML) tailored to support scalable analytics and AI/LLM readiness.
- Deep, practical knowledge of dimensional modeling concepts (Kimball methodology).
- Deep, practical knowledge of normalization.
- Deep, practical knowledge of data lineage.
- Deep, practical knowledge of metadata management.
- Demonstrated experience implementing CI/CD workflows.
- Demonstrated experience implementing automated data quality testing frameworks.
- Demonstrated experience managing technical delivery roadmaps.
Skills
- dbt
- Airflow
- Dagster
- Snowflake
- BigQuery
- Redshift
- dbt Semantic Layer
- Cube
- MetricFlow
- LookML
- Kimball methodology
- CI/CD workflows
- Automated data quality testing
- Tableau
- Looker
- Power BI
Location
- New York
- Florida
Work Type
- Full-time
Experience Level
- 6+ years of experience
- 2-3+ years of management experience
Salary/Compensations
- $240,000—$260,000 USD
Benefits
- Full benefits program
- Opportunities for professional growth
About the Company
- Success Academy is a fast-growing, high-performing network of public charter schools in New York, expanding to Florida.
- The mission is to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status.
- The company aims to give every student a fair shot at reaching their potential.
Equal Opportunity
- Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds.
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world.