CompassX Group
B2B • Consulting • Technology
CompassX Group is a business and technology consulting firm that specializes in delivering services across several sectors including financial services, healthcare, life sciences, and consumer discretionary. Their expertise includes technology advisory, data solutions, business resiliency, and agile product evolution, helping organizations to implement effective strategies and improve operational efficiencies.
11 - 50 employees
Founded 2009
🤝 B2B
Data Architect – Customer 360
Job not on LinkedIn
November 11
CompassX Group
B2B • Consulting • Technology
CompassX Group is a business and technology consulting firm that specializes in delivering services across several sectors including financial services, healthcare, life sciences, and consumer discretionary. Their expertise includes technology advisory, data solutions, business resiliency, and agile product evolution, helping organizations to implement effective strategies and improve operational efficiencies.
11 - 50 employees
Founded 2009
🤝 B2B
📋 Description
• Design and implement **data models (star, snowflake, and semantic)** to support analytics and Customer 360 use cases • Architect **end-to-end pipelines and transformation frameworks** leveraging dbt and Python • Define and maintain **standards for self-service analytics**, enabling business users through governed and reusable data assets • Partner with engineering, analytics, and business teams to align on **data definitions, governance, and architecture best practices** • Build and optimize **data marts and semantic layers** for downstream BI tools such as Power BI or Looker • Guide the design and delivery of a **Customer 360 / Member 360 platform**, integrating multiple data sources to deliver unified insights • Support **cloud modernization efforts** across Snowflake and BigQuery environments • Apply **DevOps and CI/CD practices** using Git and modern orchestration frameworks (Airflow, Dagster, etc.)
🎯 Requirements
• 10+ years of experience in data architecture or advanced data engineering • Strong hands-on experience with **Snowflake** (preferred) and/or **BigQuery** • Expertise in **dbt** for modular data modeling, testing, and transformation • Solid proficiency in **Python**, including automation and data processing libraries (Pandas, SQLAlchemy, etc.) • Proven track record designing **self-service analytics platforms** or **Customer 360 data products** • Understanding of **data governance, lineage, and metadata management** • Background in **Financial Services or Life Sciences** is highly preferred • Familiarity with orchestration and CI/CD tooling (e.g., Airflow, Dagster, GitHub Actions) • Self-driven, detail-oriented, and able to standardize and own architectural solutions end-to-end
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