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Data Architect – Customer 360

Data EngineerData EngineerContractRemoteTeam 11-50Since 2009H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

124 days ago

Salary

$90 - $125 / hour

Bachelor Degree10 yrs expEnglishAirflowBig QueryCloudPandasPython

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.)

Job 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