Data ArchitectModeler

Hi

I hope you are doing well.

Please find the job details below:

Job Title: Data Architect/Modeler
Location: Jersey City NJ

• 8 10 years of experience in Enterprise Data Architecture and Data Modeling across modern data platforms.

• Hands-on experience with Data Engineering and development of scalable enterprise data pipelines.

• Strong expertise in cloud-based data platforms such as Snowflake Databricks and distributed data processing technologies.

• Experience with on-premise data platforms and legacy data warehouses such as Oracle Exadata.

• Strong understanding of data warehouse data lake and lakehouse architectures.

• Experience designing and implementing ETL/ELT frameworks using Spark Snowflake Tasks Streams or similar technologies.

• Expertise in Master Data Management (MDM) enterprise data governance metadata management data lineage and data quality.

• Strong SQL skills with programming experience in Python PySpark or Snowpark.

• Experience with dbt (Data Build Tool) for data transformation modeling ELT development testing documentation and version control.

• Experience with Azure AWS or GCP and integration with Snowflake and Databricks.

• Familiarity with API integrations Kafka Spark Streaming and event-driven architectures.

• Understanding of enterprise security compliance RBAC data masking and encryption.

• Experience working in Agile environments and collaborating with cross-functional teams.

• Bachelors degree in Computer Science Information Systems Engineering or a related field.

Schedule: Standard

We are seeking an experienced Data Architect with strong Data Modeling expertise and hands-on Data Engineering capabilities to support enterprise data initiatives within the Financial Services industry. The ideal candidate will design scalable cloud-based data platforms develop enterprise data models and deliver modern data architecture solutions that support analytics reporting regulatory compliance and business intelligence initiatives.

• Design and implement enterprise-wide data architecture solutions for large-scale financial services environments.

• Develop conceptual logical and physical data models supporting operational analytical and reporting platforms.

• Architect and support cloud-native data platforms including enterprise data lake warehouse and lakehouse ecosystems.

• Develop ETL/ELT pipelines data ingestion frameworks and transformation processes.

• Design scalable batch and real-time data integration solutions for structured and semi-structured data.

• Support Master Data Management (MDM) initiatives across security account client and reference data domains.

• Collaborate with enterprise architecture governance security compliance and business teams to establish enterprise data standards.

• Implement metadata management data lineage governance and data quality frameworks.

• Optimize enterprise data platforms for scalability reliability performance and cost efficiency.

• Support regulatory audit risk and compliance reporting requirements.

• Participate in cloud migration and modernization initiatives involving legacy and distributed data systems.

• Enable analytics AI/ML reporting and business intelligence capabilities through trusted enterprise data solutions.

• Experience supporting enterprise modernization and cloud transformation initiatives.

• Exposure to real-time analytics and distributed data platforms.

• Knowledge of enterprise architecture and data governance frameworks.

• Financial Services Investment Management or Wealth Management industry experience.

• Excellent communication collaboration and stakeholder management skills.