Big Data Architect

environmental technology of america inc

Charlotte, NC, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

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

+19 more

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

Job 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.

Requirements

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.

Benefits & conditions

Company Benefits (Can includes) Health, Dental, Vision, 401(k), 20 days of Paid Time Off (PTO)

Preference: W2

Additionally

Entech is an equal-opportunity employer.
This is an On-site role work schedule based out of Malvern, PA office five days on week
No Third-party candidates will be accepted, this is strictly a direct employment opportunity with Entech