Senior Data Modeller: Financial Data Architect (Onsite NYC)

Sligo Software Solutions Inc.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Sligo Software Solutions, Inc. in New York, NY is seeking a Sr. Data Modeller with Financial Experience for a 30-month engagement with NY State - Department of Financial Services. The role focuses on building data workflows, validating financial data, and enabling data governance.

You will translate complex business requirements into technical specifications, develop data warehousing pipelines using SQL and cloud tools, and automate reporting with Python, VBA, or R.

Qualifications

• 15+ years of experience in IT data platforms and governance.
• Expert in data warehousing, profiling, governance, and data quality for financial reporting.
• Proficient in SQL, Oracle, and data visualization tools.
• Experience with cloud data platforms (Snowflake or Azure).
• Bachelor's degree required; copy of identification documents.

Responsibilities

• Translate business requirements into technical data pipelines and workflows.
• Build and maintain data warehousing workflows and pipelines.
• Analyze and validate data using statistical methods and model calculations.
• Define technical requirements from business needs to guide implementations.
• Perform data profiling, exception reporting, and metadata lineage management.
• Automate ingestion and reporting using Python/VBA/R.

Skills

SQL

Python

R

VBA

Data Governance

Data Modeling

Data Warehousing

Data Visualization

Education

Bachelor's Degree

Tools

Tableau

Power BI

Oracle

Snowflake

Azure

Informatica

Collibra

Job description

Sligo Software Solutions, Inc. in New York, NY is seeking a Sr. Data Modeller with Financial Experience for a 30-month engagement with NY State - Department of Financial Services. The role focuses on building data workflows, validating financial data, and enabling data governance.

You will translate complex business requirements into technical specifications, develop data warehousing pipelines using SQL and cloud tools, and automate reporting with Python, VBA, or R.