Lead I - Data Engineering

• *Role description**

### **Who We Are**

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co\-create lasting change. Together, with over 30,000 employees in 30\+ countries, we build for boundless impact, touching billions of lives in the process. Visit us at **www.ust.com**.

• *Summary**

UST is seeking an experienced **Snowflake Data Engineer** with strong expertise in **Snowflake Data Warehousing, Salesforce Data Cloud (Data 360\), SQL Development, ETL/ELT Processes, and Cloud Data Integration**. The ideal candidate will be responsible for building scalable data solutions, supporting Customer 360 initiatives, implementing Salesforce Data Cloud capabilities, and developing enterprise\-grade data pipelines for analytics and business intelligence solutions.

• *The Opportunity**

As a Snowflake Data Engineer, you will play a critical role in designing, developing, and supporting modern cloud\-based data platforms. You will work closely with business stakeholders, architects, and engineering teams to deliver Snowflake and Salesforce Data Cloud solutions while ensuring high standards of data quality, scalability, performance, and governance.

### **Key Roles \& Responsibilities**

• Analyze and develop a deep understanding of existing Snowflake data models, ETL/ELT processes, Salesforce Data Cloud structures, and enterprise integrations.
• Support Redshift\-to\-Snowflake migration initiatives, including assessment, architecture planning, schema conversion, data migration, testing, performance tuning, and production deployment.
• Design, develop, and maintain Snowflake database objects including tables, views, streams, tasks, stored procedures, and data pipelines.
• Build and manage Salesforce Data Cloud (Data 360\) components including:

+ Data Streams

+ Data Lake Objects (DLOs)

+ Data Model Objects (DMOs)

+ Identity Resolution

+ Calculated Insights

+ Customer 360 Profiles

• Develop scalable ETL/ELT pipelines supporting enterprise reporting and analytics initiatives.
• Create and optimize complex SQL queries for reporting, transformation, reconciliation, and analytical workloads.
• Design and support integrations between:

+ Snowflake

+ Salesforce Data Cloud

+ Salesforce CRM

+ AWS Services

+ Enterprise Applications

• Validate data migrations, data loads, and transformations to ensure completeness, consistency, and accuracy.
• Monitor and optimize Snowflake performance, including:

+ Query tuning

+ Warehouse sizing

+ Workload management

+ Storage optimization

• Support User Acceptance Testing (UAT), release activities, and post\-production support.
• Troubleshoot and resolve production incidents, data discrepancies, and integration failures.
• Develop technical documentation for data models, mappings, ETL workflows, integrations, and operational procedures.
• Implement data governance, security, compliance, and privacy controls.
• Collaborate with business stakeholders and technical teams to deliver scalable Customer 360 and analytics solutions.
• Ensure adherence to SLAs, operational standards, and enterprise best practices.

• *What You Need**

### **Requirements**

• Strong experience in Snowflake Data Warehousing and Data Engineering.
• Hands\-on expertise in Salesforce Data Cloud (Data 360\) implementation and administration.
• Experience supporting Redshift\-to\-Snowflake migrations.
• Strong SQL development, optimization, and performance tuning skills.
• Experience designing and maintaining ETL/ELT pipelines.
• Strong understanding of enterprise data architecture and cloud data ecosystems.
• Experience implementing Customer 360 solutions and identity resolution frameworks.
• Understanding of data governance, security, privacy, and compliance practices.
• Excellent analytical, troubleshooting, and problem\-solving abilities.
• Ability to work independently and drive technical solutions.
• Strong communication and stakeholder management skills.

• *Required Skills**

### **Data Engineering**

• Snowflake Data Warehouse
• Data Modeling
• ETL/ELT Development
• Data Integration
• Data Migration
• Data Validation
• Data Governance
• Data Quality Management

### **Salesforce Data Cloud**

• Salesforce Data Cloud (Data 360\)
• Data Streams
• Data Lake Objects (DLOs)
• Data Model Objects (DMOs)
• Identity Resolution
• Calculated Insights
• Customer 360
• Salesforce CRM Integration

### **Database \& Development**

• SQL
• Advanced Query Optimization
• Stored Procedures
• Streams \& Tasks
• Data Reconciliation
• Performance Tuning

### **Cloud \& Integration**

• AWS S3
• AWS Glue
• AWS AppFlow
• Cloud Data Integration
• API Integration

### **Testing \& Support**

• UAT Support
• Production Support
• RCA (Root Cause Analysis)
• Incident Resolution

• *Desired Skills**
• Python Programming
• Advanced AWS Services
• Redshift Administration
• Data Lake Architecture
• Data Mesh Concepts
• Customer Analytics Platforms
• AI\-Driven Analytics
• CI/CD for Data Engineering
• DevOps Practices
• Agile Delivery Methodologies
• Healthcare Data Platforms

• *Qualification**
• Bachelor's Degree in Computer Engineering, Computer Science, Information Technology, or a related discipline.

• *Experience**
• *5\+ Years**

• *Domain Expertise**

Candidates with **US Healthcare domain experience** will be highly preferred.

### **Preferred Healthcare Knowledge**

• Healthcare Analytics
• Claims Processing
• Member Management
• Provider Data Management
• Customer 360 Solutions
• Healthcare Data Integration
• Regulatory and Compliance Requirements

• *Technology Stack**
• Snowflake
• Salesforce Data Cloud (Data 360\)
• SQL
• AWS S3
• AWS Glue
• AWS AppFlow
• Python (Preferred)
• Salesforce CRM
• ETL/ELT Frameworks
• Redshift Migration

• *What We Believe**

We're proud to embrace the same values that have shaped UST since the beginning. Since day one, we've been building enduring relationships and a culture of integrity. Today, those same values inspire us to encourage innovation, champion diversity and inclusion, and place people at the center of everything we do.

### **Humility**

We will listen, learn, be empathetic, and help selflessly in our interactions with everyone.

### **Humanity**

Through business, we will better the lives of those less fortunate than ourselves.

### **Integrity**

We honor our commitments and act with responsibility in all our relationships.

• *Equal Employment Opportunity Statement**

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis protected by applicable law.

UST reserves the right to periodically redefine roles and responsibilities based on organizational requirements and/or employee performance.

• Support and promote the values of UST.
• Comply with all Company policies and procedures.

• *Skills**

Snowflake, Salesforce Data Cloud, Data Engineering, SQL, Data Governance, Customer 360

• *About UST**

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.