Analytics Engineering Lead (dbt)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Analytics Engineering Lead (dbt): Architecting and delivering a curated data model layer for a modern data platform with an accent on dimensional modeling, dbt project structure, and data quality. Focus on transforming raw data from 18 domains into trustworthy, activation-ready entities for CDP and business stakeholders.
Location: Columbia, MD (Onsite)
Salary: $135,000 - $180,000
Company
is a premier AI services provider that aligns human expertise with artificial intelligence to drive data-driven strategy and meaningful business impact.
What you will do
- Design and own the curated data model layer across 18 distinct data domains.
- Implement structured dbt project architecture following staging, intermediate, and marts patterns.
- Define and enforce comprehensive data quality frameworks, including freshness checks and anomaly detection.
- Interface directly with business stakeholders to validate model outputs against CDP activation needs.
- Establish best practices for naming conventions, modular design, and code reviews.
- Partner with data engineers and architects to ensure seamless data flow from ingestion to activation.
Requirements
- 8+ years of experience in data engineering or analytics engineering.
- 3+ years in a lead or senior role influencing technical standards.
- Expert-level proficiency in dbt, including macros, packages, and advanced testing.
- Expert-level SQL skills with complex transformations and performance optimization.
- Strong dimensional modeling skills for analytical flexibility and CDP consumption.
- Hands-on experience with AWS data stack, specifically Athena or Redshift.
Nice to have
- Experience with orchestration tools like Airflow, Prefect, or Dagster.
- Background in data observability tooling such as Monte Carlo or Elementary.
- Familiarity with CDP platforms and BI layers like Looker or Tableau.
- Experience in a consulting or client-services environment.
Culture & Benefits
- Competitive compensation and comprehensive benefits program including medical, dental, and vision.
- 401K retirement plan with company contributions.
- Flexible work environment with a focus on craft and innovation.
- Opportunity to work on a high-impact, greenfield data platform.
- Support for health and financial well-being through EAPs and disability coverage.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →