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