Data Architect/Modeler

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.

• Bachelor's 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.