Description
Additional Skills:
Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization.
Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers.
Ability to evaluate when to leverage community dbt packages versus building custom solutions.
Expert-level SQL for complex analytical transformations and performance optimization.
Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys.
Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases.
Experience designing and implementing automated data quality testing and validation frameworks.
Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows.
Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems.
Working knowledge of DataOps practices such as version control, CI/CD, and automated testing.
Knowledge of K-12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements.
Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms.
Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities.
Strong communication and change management skills, translating technical capabilities into clear business value.
Required experience:
Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles.
3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams.
Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations.
Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products.
Expert-level SQL skills, including complex analytical queries and performance optimization
Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions.
Preferred Education and Experience:
Master's degree in Data Science, Statistics, Computer Science, or a related analytical field.
dbt Analytics Engineering certification or equivalent demonstrated expertise
Hands-on experience with Snowflake or comparable cloud data warehouse platforms.
Experience working with K-12 education data, student information systems, or education analytics.
Experience building data solutions for multi-state or geographically distributed organizations.
Exposure to data governance practices, including business glossaries and data quality frameworks
Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms).
Experience leading analytics teams using Agile or iterative delivery methodologies.
Requirements
Active Directory, Citrix Technologies, Desktop administration, Computer Hardware, Remote Desktop Support, Data Build Tool (DBT), Snowflake schema, Snowflake, Data Modeling, Data Ingestion, Data Architecture, Student information systems, Data Warehousing, Business Intelligence and Data Warehousing (BI DW), Microsoft SQL, Continuous Integration / Continuous Delivery (CICD)
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- Dice Id: rhalfint
- Position Id: 04080-0013402899
- Posted 4 hours ago
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