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:
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• 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 Now
Apply Now