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# Sr. Data & Integrations Engineer

- **Company:** DIVERSIFY, LLC
- **Location:** Sandy, UT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Engineering, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Middleware, Python (Programming Language), Metadata, Node.Js, NoSQL, Simple Object Access Protocol (SOAP), SQL Databases, Data Streaming, Systems Integration, Talend, Scripting, Snowflake, Boomi, Zapier, Servicebus, Containerization, Kubernetes, Collibra, Integration Frameworks, Real Time Data, Apache Kafka, Cloud Integration, Data Pipelines, Docker, Mulesoft, Amazon Redshift, Databricks, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=685f900cfcc4db8d

## About the Role

This role is ideal for a senior technologist who blends systems integration expertise with strong data architecture judgment. This is a full-time in-office position at our headquarters in Sandy Utah. Hybrid work is an option for the right candidate., * 6+ years of experience in integrations, data engineering, or data architecture, including 2+ years in a senior or lead role

 * Strong experience with iPaaS and integration platforms (e.g., MuleSoft, Boomi, Workato, Azure Integration Services)
 * Proven expertise designing data warehouses or lakehouse architectures (e.g., Snowflake, Databricks, Redshift)
 * Strong communicator able to explain complex integration and data concepts to technical and non-technical audiences
 * Detail-oriented, analytical, and skilled at resolving data and integration challenges
 * Experience in financial services, wealth management, or regulated environments preferred

Your Toolkit:

 * SQL and advanced data modeling (relational, dimensional, NoSQL)
 * ETL/ELT tools and frameworks (dbt, Fivetran, Informatica, Talend)
 * APIs, event streaming, and messaging (REST/SOAP, Kafka, EventBridge)
 * Cloud-native architectures on AWS, Azure, or GCP
 * Programming/scripting (Python, Java, Node.js)
 * CI/CD, microservices, containerization (Docker/Kubernetes)
 * Data governance, cataloging, and metadata tools (e.g., Alation, Collibra)
 * Security and compliance standards (SOC 2, GDPR, HIPAA)
 * Familiarity with MDM concepts and tools
 * Relevant certifications a plus

## Description

As a Senior Integrations Engineer (Data Architecture Focus), you will own the design and governance of enterprise integrations and data architecture that connect our systems and power analytics, reporting, and operations. You'll partner closely with data, finance, product, and engineering teams to ensure our data ecosystem is scalable, reliable, secure, and well-structured., * Architect and deliver enterprise-grade integrations using iPaaS platforms, middleware, APIs, and event-driven patterns

 * Design and maintain ETL/ELT pipelines and real-time data flows that support operational and analytics use cases
 * Define and enforce integration and data architecture standards, patterns, and best practices
 * Ensure reliability, observability, security, and scalability across all integration and data workflows

Data Modeling & Governance

 * Design enterprise data models, schemas, and documentation to support BI, reporting, and downstream analytics
 * Establish data standards, naming conventions, governance policies, and quality validation across integrated systems
 * Architect data warehouse and lakehouse structures aligned to integration outputs and analytics needs
 * Lead architecture reviews for new systems, vendors, and integrations

Leadership & Collaboration

 * Partner cross-functionally to translate business requirements into integration and data architecture solutions
 * Serve as a technical mentor and escalation point for engineers
 * Evaluate and drive adoption of new integration, data, and platform technologies
 * Maintain clear documentation of architectures, data flows, and operational runbooks


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