Data Migration Engineer

KANINI Software Solutions•Nashville, TN

179d•Onsite

About The Position

We are seeking a Data Migration Engineer with expertise in SQL Server to Snowflake and Matillion for a Finance Data Platform. This long-term role in Nashville, TN, involves understanding business needs, assessing data feeds, replicating data objects and logic, supporting the migration process, and enabling knowledge transfer to ensure business users are confident in the new Snowflake-based solution.

Requirements

Strong experience with Snowflake for data storage, querying, and validation
Hands-on experience with SQL Server (on-prem, preferably SQL Server 2016)
Advanced SQL skills, including stored procedures and views
Experience rebuilding and migrating data pipelines (not just lift-and-shift)
ETL & Data Integration
Hands-on experience with Matillion (mandatory)
Experience building and maintaining ETL pipelines into Snowflake
Ability to identify missing data feeds and build new integrations
Experience working with multiple inbound data sources

Nice To Haves

Experience working with finance or accounting data
Familiarity with NetSuite and/or QuickBooks is a strong plus
Understanding of data accuracy, reconciliation, and reporting needs

Responsibilities

Meet with business stakeholders to understand how they currently use the system, including day-to-day workflows, reports, and decision-making processes.
Document current business use cases, dependencies, and expectations from the data platform.
Act as a liaison between business users and the technical team to ensure requirements are clearly understood and translated.
Review existing data feeds currently available in Snowflake (e.g., QuickBooks, NetSuite).
Identify missing or incomplete data feeds required to support business workflows.
Perform gap analysis between the current environment and Snowflake to determine additional ingestion or transformation needs.
Define requirements for building or enhancing data feeds to close identified gaps.
Analyze existing database objects such as stored procedures, views, and transformations used in the source environment.
Ensure equivalent logic is replicated in Snowflake with consistent behavior.
Validate record counts, data accuracy, and output consistency between source and Snowflake environments.
Support testing and reconciliation efforts to ensure parity during migration.
Work closely with the core engineering and data teams throughout the migration process.
Help ensure a smooth transition from the legacy environment to Snowflake with minimal disruption to business users.
Document findings, assumptions, and decisions to support long-term maintainability.
Assist in knowledge transfer to internal teams to ensure post-migration self-sufficiency.
Support adoption by ensuring business users are confident in the Snowflake-based solution.