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# Big Data Architect

- **Company:** environmental technology of america inc
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Governance, Data Integration, Data Systems, Database Models, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Metadata, PCI Data Security Standards, Scala (Programming Language), Data Streaming, Privacy Controls, Google Cloud, Sql Optimization, Snowflake, Apache Spark, Data Lakes, Information Technology, Data Lineage, Apache Kafka, Data Management, Data Pipelines, Databricks
- **Published:** August 31, 2026
- **Apply:** https://www.disabledperson.com/jobs/74619461-big-data-architect

## About the Role

* Experience: 15+ years in data engineering or enterprise architecture, with specific background in financial services or banking.
 * Technical Stack: Advanced SQL, Python, Scala, or Java.
 * Big Data Frameworks: Hands-on expertise with Apache Spark, Kafka, Hive, or Databricks.
 * Data Modeling: Mastery of dimensional modeling, master data management (MDM), and metadata lineage tracking.
 * Must have Strong AWS experience
 * Education: Bachelor's or Master's degree in Computer Science, Applied Mathematics, or a related quantitative field.

## Description

Going digital requires holistic thinking that puts humans at the center of everything. Entech delivers complete solutions including strategies, technologies, and implementation services to master digital convergence. We integrate our unique outside-in approach to people, processes, and technology to orchestrate digital empowerment to address today's business challenges. Mastering digital convergence at enterprise scale., A Big Data Architect for financial client services designs and oversees massive, secure, and compliant data systems that process client financial portfolios, transactions, and analytics, * Design Big Data Systems: Build scalable data pipelines, data lakes, and warehouses using distributed tools like Spark, Hadoop, and Kafka.

 * Ensure Compliance and Security: Enforce strict financial regulations, data governance, and privacy standards (such as GDPR, SEC, or PCI-DSS).
 * Client Data Integration: Integrate external and internal financial data streams for client reporting, risk analysis, and wealth management platforms.
 * Cloud Infrastructure: Manage multi-terabyte or petabyte datasets on cloud platforms like AWS, Azure, GCP, or Snowflake.
 * Cross-Team Leadership: Translate complex business needs from financial stakeholders into technical database models and data flows.


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