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# Data Platform Architect

- **Company:** Intento Analytics LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Database, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Software Design Patterns, Disaster Recovery, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Oracle (Applications), Cloud Services, Azure Data Lake, Salesforce.Com, SQL Databases, Systems Integration, Enterprise Data Management, Google Cloud, System Availability, Snowflake, Apigee, Microsoft Fabric, Information Technology, Data Management, Machine Learning Operations, Data Pipelines, Servicenow, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/4927f9a2-3a66-4a5e-8beb-e2d9a795c1ac

## About the Role

* 7+ years of database engineering experience, including 3+ years in database architecture.
 * Enterprise data platform architecture across Azure and Google Cloud (Google Cloud Platform).
 * Strong expertise in Snowflake, SQL, Python, and Matillion.
 * Experience with Azure Data Lake (ADLS), Microsoft Fabric, Databricks, SQL Server, PostgreSQL, and Oracle.
 * Data modeling, ETL/ELT orchestration, data governance, and cloud data integration.
 * Knowledge of infrastructure as code, CI/CD, observability, security, and AI/ML data platforms.
 * Excellent communication, technical documentation, and stakeholder management skills.
 * Bachelor's degree in IT, Computer Science, Data Science, or a related field, or equivalent experience.

Preferred Qualifications

 * Master's degree in a related field.
 * Healthcare payer domain experience, including claims, eligibility, members, and providers.
 * Apigee API integration experience.
 * Integration experience with Salesforce, FACETS, and ServiceNow.

## Description

* Define and maintain enterprise data platform strategy, architecture standards, and design patterns.
 * Architect scalable, secure, and cost-efficient cloud data platforms.
 * Lead data engineering teams in implementing ETL/ELT pipelines and data integration solutions.
 * Establish data governance, security, compliance, disaster recovery, and platform reliability standards.
 * Enable analytics, reporting, and AI/ML workloads through modern data architectures.
 * Evaluate emerging data technologies and drive AI-powered data engineering automation.