Description

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

Key Skills

Education

Any Graduate