Data Architect – Customer 360

Job 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 Benefits: Apply tot his job Apply To this Job