Sr. Data Engineer/ Data Architect

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.