Senior Manager - Analytics Engineering
New
H
HighLevelSaaS / Data Platform
United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 11+ years of experience in analytics engineering, business intelligence, data engineering, or related fields
- Required Skills
- SQLBusiness IntelligenceGitSnowflakeAirflowCI/CDData modelingdbt
Requirements
- 11+ years of experience in analytics engineering, business intelligence, data engineering, or related fields.
- 3+ years managing high-performing technical teams, growing and developing people.
- Deep expertise with SQL and modern analytics engineering practices.
- Experience building analytics platforms using DBT, Snowflake, Airflow or similar orchestration tools.
- Familiarity with Git and CI/CD workflows and BI platforms.
- Strong understanding of dimensional modeling, semantic layers, and data warehousing concepts.
- Experience defining data governance, testing, and data quality frameworks.
- Excellent stakeholder management and communication skills.
- Demonstrated ability to influence technical strategy across multiple organizations.
Responsibilities
- Hire, develop, and lead a high-performing team of Analytics Engineers.
- Foster a culture of technical excellence, ownership, and collaboration.
- Define and execute the roadmap for analytics engineering, data modeling, and semantic layers.
- Build scalable dimensional models and curated datasets for trusted reporting.
- Drive adoption of best practices including testing, documentation, version control, and CI/CD.
- Own data quality initiatives, observability, and governance.
- Partner with Engineering, Data Science, and business stakeholders to translate analytical needs into data products.
- Collaborate with Data Engineering to improve pipelines and warehouse performance.
- Set technical standards for data modeling and mentor engineers through complex implementations.
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