Sr. Data Engineer/ Data Architect- San Francisco, CA

Job requirements
Sr. Data Engineer/ Data Architect
Location: Open to Remote
Duration: Long term

 
Scope of Work ● Collaborate with the Data Modeler team to model and map data as required by defined use cases
● Build unified data graphs based on requests from internal consumers
● Manage and maintain existing data graphs Near-
 
Term Priorities (First 30 Days) ● Transition several existing data graphs currently maintained by another team that are in active production use ● Potentially re-map backend data sources for those data graphs from outgoing/retiring sources to new sources
 
 
Required Skills & Qualifications
● Strong experience in data engineering, ETL (preferably Informatica), and data architecture
● Experience working with Salesforce platforms and data models
● Hands-on experience with Airflow and MuleSoft
● Strong SQL skills with Snowflake and other relational databases
● Experience writing complex Python modules for custom ETL workflows
● Expertise in building batch and real-time data pipelines
● Experience with dbt for data transformation and modeling
● Familiarity with AWS/GCP and distributed/event-driven architectures
● Strong understanding of data modeling, data warehousing, and big data processing
● Experience with data quality, monitoring, and pipeline orchestration frameworks
● Ability to work closely with Product, Data Science, and Analytics teams
● Experience working on Salesforce Flows and Apex is a plus Job Description Summary Roles Needed: Senior Data Engineer, Data Modeler / Architect The supplier will stand up a new team within UKS focused on building and maintaining data graphs derived from Data 360. Engineers will manage graph transitions from retiring teams, re-map backend sources as needed, and serve internal consumers who rely on just-in-time context and insights.