Senior Analytics Architect - Remote Data Systems

Jobgether; Oregon; Ibrido; USD 175.000 - 185.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote environment

Competitive salary

Descrizione del lavoro

Jobgether is seeking a Staff Analytics Engineer based in the United States to design and scale data infrastructure supporting analytics across a large education technology environment. You will lead the development of ELT/ETL pipelines, analytical data models, and semantic layers, using dbt, SQL, Airflow, and Snowflake.

You will collaborate with data scientists, engineers, analysts, and business stakeholders to improve data quality, accessibility, and performance, while mentoring engineers and

Competenze

• 8+ years of professional experience in software/data eng, analytics engineering, or related field.
• 5+ years in analytics engineering, data modeling, or modern ELT/ETL systems.
• Advanced SQL and production-grade dbt pipelines.
• Strong analytics data modeling, Kimball dimensional modeling.
• Cloud data warehouse expertise (Snowflake) and cloud storage.
• Experience with Airflow, Fivetran, Matillion.
• Experience with BI/semantic platforms (Looker, Tableau, Cube.dev).
• Git, CI/CD, testing, and modern software workflows.

Mansioni

• Design, develop, and maintain scalable ELT/ETL pipelines (dbt, Airflow, SQL).
• Build reusable analytical data models and semantic layers for BI and analytics.
• Architect and optimize data warehouse schemas, workflows, and metrics.
• Create datasets for student performance, adaptive learning, and insights.
• Mentor engineers, set technical standards, and drive best practices.
• Collaborate with data scientists, engineers, analysts, and stakeholders.

Conoscenze

SQL proficiency

dbt

Airflow

data modeling

analytical thinking

Formazione

Bachelor's degree in CS/Math/related field

Strumenti

dbt

Airflow

Snowflake

Looker/Tableau

Git/CI-CD

Descrizione del lavoro

Jobgether is seeking a Staff Analytics Engineer based in the United States to design and scale data infrastructure supporting analytics across a large education technology environment. You will lead the development of ELT/ETL pipelines, analytical data models, and semantic layers, using dbt, SQL, Airflow, and Snowflake.

You will collaborate with data scientists, engineers, analysts, and business stakeholders to improve data quality, accessibility, and performance, while mentoring engineers and