Understand business requirements and translate them into scalable data architecture and data models
Design conceptual, logical, and physical data models for finance systems (GL, AR, AP)
Architect and implement end-to-end data solutions on Microsoft Azure
Build and maintain enterprise data warehouse and data lake architectures
Integrate data from ERP systems (SAP, Oracle, NetSuite) and other upstream sources
Develop and optimize ETL/ELT pipelines using Azure Data Factory and Databricks
Enable batch and real-time data processing using Azure-native services
Ensure data quality, consistency, and reconciliation across financial systems
Support financial reporting including P&L, Balance Sheet, and Cash Flow
Implement data governance, lineage, and cataloging using Azure Purview
Collaborate with finance, business, and engineering teams for solution delivery
Optimize performance, scalability, security, and reliability of data platforms.
Requirements
12+ years of exp only
please don’t submit if you don’t have Finance (GL, AR, AP) experience
Strong ability to understand business data and design effective data models
Expertise in data modeling techniques (ER modeling, dimensional modeling – star/snowflake schema)
Strong hands-on experience with Microsoft Azure data services, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure Databricks, Azure SQL Database / Managed Instance, Azure Event Hub & Stream Analytics (real-time ingestion), Azure Functions & Logic Apps (integration and automation), Azure Purview (data governance and lineage)
Experience with data warehousing platforms (Snowflake, Redshift, Azure Synapse, BigQuery)
Strong proficiency in SQL and data transformation frameworks
Knowledge of ETL tools (Informatica, Talend, DataStage, ADF)
Familiarity with BI tools (Tableau, Power BI, MicroStrategy)
Understanding of data lakehouse architecture and medallion design (Bronze/Silver/Gold)
Strong understanding of accounting principles and financial processes
Experience with ERP systems (SAP FI/CO, Oracle Financials, NetSuite) (Preferred)
Knowledge of compliance standards (SOX, GAAP, IFRS) (Preferred)
Experience in finance transformation and data migration programs (Preferred)
Strong experience in Azure cloud architecture and implementation (Preferred)
Nice to Have: Experience with real-time streaming technologies (Kafka, Spark), Knowledge of Python or scripting languages, Experience working in large enterprise environments.
Tech Stack
Amazon Redshift
Azure
BigQuery
Cloud
ERP
ETL
Informatica
Kafka
Oracle
Python
Spark
SQL
Tableau
Benefits
This is a remote position.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.