Senior Data Warehouse Architect: Azure Databricks & Finance

Centillion Infotech LLC; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Synechron Inc in New York City, NY, seeks a Sr. Datawarehouse Architect to lead the design and implementation of enterprise data solutions.

The role emphasizes Azure Databricks, Python, and deep knowledge of financial markets to drive data-driven initiatives and strategic insights. You will design scalable data warehouse architectures, build robust pipelines, and collaborate with business teams to translate requirements into effective technical solutions, while ensuring data quality, security,

Qualifications

• Proven experience as a Data Warehouse Architect or senior data engineering role.
• Hands-on with Azure Databricks, Python, and Azure Data Services.
• Strong SQL and data modeling skills.
• Deep domain knowledge of financial markets or capital markets.
• Bachelor’s degree; Master’s preferred.
• Excellent communication with cross-functional teams.

Responsibilities

• Design, develop, and optimize scalable data warehouse architectures on Azure.
• Build and maintain data pipelines using Azure Databricks and Python.
• Collaborate with business teams to translate data requirements into solutions.
• Ensure data quality, security, and regulatory compliance.
• Lead legacy system migration to cloud-based architectures.
• Develop data models and ETL/ELT processes and tuning.

Skills

SQL proficiency

Cloud data architecture

Education

Bachelor’s degree in Computer Science/IT

Master’s degree preferred

Tools

Azure Databricks

Python

Spark

Azure Data Services

Job description

Synechron Inc in New York City, NY, seeks a Sr. Datawarehouse Architect to lead the design and implementation of enterprise data solutions.

The role emphasizes Azure Databricks, Python, and deep knowledge of financial markets to drive data-driven initiatives and strategic insights. You will design scalable data warehouse architectures, build robust pipelines, and collaborate with business teams to translate requirements into effective technical solutions, while ensuring data quality, security,