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# Data Platform Architect

- **Company:** Infoorigin inc -
- **Location:** Harrisburg, PA, United States
- **Experience:** Expert
- **Salary:** $249,600.0 - $270,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Cloud Database, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Dimensional Modeling, Python (Programming Language), Performance Tuning, Standard Sql, Cloud Platform System, Snowflake, Apache Spark, Electronic Medical Records, Data Lakes, Pyspark, AWS Glue, Data Management, Cloud Migration, Terraform, Data Pipelines, Databricks
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=85aa006633a68b30

## About the Role

* 8+ years of experience in Data Engineering / Data Architecture / Data Platform Architecture.
 * Strong experience with AWS cloud data services.
 * Hands-on experience with Snowflake.
 * Strong Spark/PySpark experience.
 * Strong Python and SQL skills.
 * Experience designing Data Lakes, Data Warehouses, or Lakehouse architectures.
 * Strong understanding of ETL/ELT, dimensional modeling, data governance, and data quality.
 * Experience with cloud modernization and large-scale data processing.
 * Excellent communication and stakeholder-management skills.

Preferred

 * Experience with Databricks, Delta Lake, AWS Glue, EMR, Terraform/IaC, CI/CD, or ML/AI data platforms.
 * Experience supporting enterprise-scale analytics or AI/ML initiatives.

Interested candidates are encouraged to apply with an updated resume highlighting their Data Platform Architecture, AWS, Snowflake, Spark/PySpark, and cloud data experience.

## Description

We are looking for an experienced Data Platform Architect to design and build scalable, cloud-based data platforms supporting analytics, data engineering, AI/ML, and enterprise data initiatives., * Design and architect enterprise-scale data platforms and data lake/lakehouse solutions.

 * Develop scalable data pipelines and ETL/ELT frameworks.
 * Work with AWS, Snowflake, Spark/PySpark, Python, and modern data technologies.
 * Define data models, data governance, security, quality, and lineage standards.
 * Drive cloud data modernization, performance optimization, and cost efficiency.
 * Collaborate with Data Engineers, Data Scientists, Architects, Product teams, and business stakeholders.
 * Provide technical leadership and guide engineering teams on architecture and best practices.


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