Data Migration Engineer

Data Migration Engineer – SQL Server to Snowflake & Matillion for a Finance Data Platform

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., Quick Books, Net Suite).

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.

• 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
• Finance & Source Systems (Preferred)
• Experience working with finance or accounting data
• Familiarity with Net Suite and/or Quick Books is a strong plus
• Understanding of data accuracy, reconciliation, and reporting needs

Kanini Software Solutions, Inc. does not discriminate in employment matters on the basis of race, gender, religion, age, national origin, citizenship, veteran status, family status, disability status, or any other protected class. We support workplace diversity. If you have a disability, please let us know if there is anything we can do to improve the interview process for you; we’re happy to accommodate.

Kanini Software Solutions, Inc., 25 Century Blvd., Ste. 602, Nashville, TN 37214.

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