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Snowflake Migration Sql Jobs (NOW HIRING)

Proven experience in AWS-to-Snowflake migration projects. * Strong knowledge of AWS services (S3, Redshift, Glue, Lambda, etc.) and integration with Snowflake. * Expertise in SQL, ETL/ELT pipelines ...

Advanced SQL skills * Experience with Oracle to Snowflake migration * Data validation and testing expertise * Experience with Git, VS Code and CI/CD practices Preferred Skills * AWS Data Engineering ...

Test Lead

Raleigh, NC · On-site

$46.25 - $63/hr

... to Snowflake migration and Talend pipeline modernization within a banking environment. The ideal candidate should possess strong expertise in Snowflake, SQL, ETL/Data Warehouse testing, data ...

Test Lead

Charlotte, NC

$46.50 - $63.25/hr

... to Snowflake migration and Talend pipeline modernization within a banking environment. The ideal candidate should possess strong expertise in Snowflake, SQL, ETL/Data Warehouse testing, data ...

Test Lead

Atlanta, GA · On-site

$45.75 - $62.25/hr

... to Snowflake migration and Talend pipeline modernization within a banking environment. The ideal candidate should possess strong expertise in Snowflake, SQL, ETL/Data Warehouse testing, data ...

Data Migration Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data Migration Engineer - SQL Server to Snowflake & Matillion for a Finance Data Platform Location : Nashville TN Duration : Long Term 1. Business Engagement & Current-State Understanding Meet with ...

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Snowflake Migration Sql information

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$21.5K

$87.6K

$127K

How much do snowflake migration sql jobs pay per year?

As of Jun 8, 2026, the average yearly pay for snowflake migration sql in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Snowflake Migration SQL Specialist, and why are they important?

To thrive as a Snowflake Migration SQL Specialist, you need expertise in SQL, data modeling, ETL processes, and experience with data warehousing, often supported by a degree in computer science or a related field. Familiarity with tools like Snowflake, Informatica, Talend, and relevant cloud platforms, as well as certifications such as Snowflake SnowPro, are typically required. Strong problem-solving, attention to detail, and effective communication skills help navigate complex migration projects and collaborate with stakeholders. These skills ensure smooth, efficient migrations, maintaining data integrity and optimizing performance in cloud data environments.

What are some common challenges faced during a Snowflake migration project, and how can they be addressed?

One common challenge in Snowflake migration projects is ensuring data consistency and integrity during the transfer process. This often involves validating data between the source and target systems, which can be complex when dealing with large datasets or different data types. Another challenge is refactoring legacy SQL code and stored procedures to be compatible with Snowflake's syntax and features. Collaborating closely with data engineers, database administrators, and business stakeholders is essential to address these issues and ensure a smooth migration. Regular testing, clear documentation, and effective communication among team members can greatly help mitigate risks.

What is the difference between Snowflake Migration Sql vs Data Warehouse Developer?

AspectSnowflake Migration SqlData Warehouse Developer
Primary FocusMigrating data to Snowflake platform using SQL scriptsDesigning, developing, and maintaining data warehouse solutions
Skills RequiredSQL, Snowflake-specific features, ETL processesSQL, data modeling, ETL/ELT, database design
Work EnvironmentCloud-based data migration projectsData warehouse environments, on-premises or cloud
CertificationsSnowflake certifications, SQL proficiencyData warehousing certifications, SQL skills

Snowflake Migration Sql specialists focus on migrating data to Snowflake using SQL, while Data Warehouse Developers design and build data warehouse solutions. Both roles require SQL expertise, but their core responsibilities differ: migration versus development and maintenance of data warehouses.

What is Snowflake migration in SQL?

Snowflake migration in SQL refers to the process of moving data, database objects, and workloads from legacy databases or data warehouses (such as Oracle, SQL Server, or Teradata) to the Snowflake cloud data platform. This migration typically involves extracting data from the source, transforming it as needed, and loading it into Snowflake, as well as converting SQL queries, procedures, and scripts to be compatible with Snowflake’s architecture. The goal is to leverage Snowflake’s scalability, performance, and features while minimizing downtime and ensuring data integrity.
Infographic showing various Snowflake Migration Sql job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 1% Temporary, and 9% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.
Snowflake Migration Lead / Senior Data Engineering Lead (FTE)

Snowflake Migration Lead / Senior Data Engineering Lead (FTE)

Infojini

Philadelphia, PA

Other

Posted 20 days ago


Job description

Role: Snowflake Migration Lead / Senior Data Engineering Lead

Location: Philadelphia, PA - Hybrid 

Hire Type: Full-Time Permanent (No Contract) 

Lead Experience in must for the role

ROLE OVERVIEW  

Client's is supporting a large US telecom client (EBI Data Engineering) in a time-bound Snowflake migration program — repointing approximately 593 Teradata downstream scripts and 154 Databricks MLOps scripts to Snowflake across domains including NRD, Compensation, Foundational, TechOps, CB, Marketing, LAT, Sales, Finance, Digital, and Products.  

 We are seeking an experienced Snowflake Migration Lead / Senior Data Engineering Lead to serve as the onshore technical lead for the Client's augmented support team. In this role, you will lead a team of 6–8 Data Engineers (onshore/offshore) through the full repointing lifecycle: SQL syntax conversion (Teradata to Snowflake), Airflow variable and connection updates, script modification, parallel run validation, and production cutover. You will be the primary technical interface between Client's engineers, the client's EBI data team, and the SI Partner who provides SQL conversion utilities and infrastructure.  

KEY RESPONSIBILITIES  

Repointing Execution & Delivery  

●  Lead script-level repointing across 593 downstream scripts (PySpark, BTEQ, Shell, SQL, IICS, SSIS) and 154 Databricks MLOps scripts from Teradata/SQL Server/Minio to Snowflake.  

●  Execute SQL syntax conversion for Teradata BTEQ scripts to Snowflake-compatible SQL, leveraging utility frameworks provided by the SI Partner .  

●  Drive Airflow variable and connection updates across all migrated workflows, ensuring pipelines point to Snowflake endpoints post-cutover.  

●  Manage the script modification and change management process, coordinating production-to-parallel sync within the required 1-business-day SLA.  

●  Own the deployment and sign-off process for each migration wave, maintaining runbooks and go/no-go checklists per domain group.  

●  Manage data copy requests for Minio-related assets and coordinate initial load and incremental sync activities with the SI Partner.  

Team Leadership  

●  Lead and coordinate a team of 6–8 Data Engineer I and Data Engineer II resources (onshore and offshore) across parallel migration workstreams.  

●  Assign scripts per complexity band (S/M/L) to team members, track daily progress against the LOE estimates, and escalate blockers promptly.  

●  Review code changes, validate SQL conversion quality, and enforce engineering standards before submission to EBI team for review.  

●  Mentor junior engineers on Snowflake-specific constructs (virtual warehouses, stages, Snowpark, streams & tasks) and Teradata-to-Snowflake syntax differences.  

●  Conduct daily stand-ups and provide weekly migration status reports to the Program Manager and client stakeholders.  

Validation, Reconciliation & Quality  

●  Own the parallel run and reconciliation cycle — execute data validation against Teradata source and Snowflake target, targeting sign-off within 2–3 reconciliation iterations per workflow.  

●  Drive automation of unit testing and validation frameworks in collaboration with the SI Partner, tracking outcomes in the centralized validation dashboard.  

●  Triage and root-cause data mismatches, performance gaps, and pipeline failures during the parallel run phase; coordinate resolution with SI Partner support as needed.  

●  Ensure UAT sign-off from the EBI Data team on each domain group before scheduling production cutover.  

●  Conduct performance and load testing on migrated Snowflake workloads; incorporate SI Partner guidance on query optimization and warehouse sizing.  

Stakeholder & SI Partner Coordination  

●  Serve as the Client's technical point of contact with the EBI client team for the repointing workstream — attending daily syncs, steering calls, and design reviews.  

●  Coordinate with (SI Partner) on alignment of major SQL conversion utilities prior to team execution, ensuring conversion frameworks are available at program kick-off.  

●  Translate migration risks and data reconciliation issues into clear business-impact language for non-technical stakeholders.  

●  Maintain shared documentation: migration decision log, runbooks, issue trackers, and lessons learned repository.  

REQUIRED SKILLS & EXPERIENCE  

Technical Skills (Must Have)  

●  8+ years of data engineering experience; minimum 3 years hands-on with Snowflake (architecture, SQL dialect, performance tuning, RBAC).  

●  Proven experience migrating Teradata workloads to Snowflake — including BTEQ/ANSI SQL translation, macro conversion, and stored procedure migration.  

●  Strong PySpark and Python skills; experience working with Databricks is required (MLOps pipelines a strong plus).  

●  Working knowledge of Apache Airflow — DAG management, variable configuration, connection updates across environments.  

●  Familiarity with IICS (Informatica Intelligent Cloud Services) and/or SSIS (.dtsx) pipelines in a migration context.  

●  Solid understanding of data lake and object store patterns (Minio, S3, ADLS) and how they integrate with Snowflake external stages.  

●  Experience with SQL Server, Teradata, and/or Netezza as source platforms is required.  

●  Strong Git proficiency; experience with CI/CD pipelines and code change coordination across environments (dev → parallel → prod).  

Delivery & Leadership Skills  

●  Proven experience leading a team of 5+ engineers in a fast-paced, time-bound migration or repointing program.  

●  Ability to manage scope across complexity bands (S/M/L scripts) and balance team capacity against tight delivery timelines.  

●  Strong stakeholder management — able to communicate migration status, risks, and escalation paths clearly to both technical and business audiences.  

●  Experience working in a client-facing consulting or managed services model is strongly preferred.  

●  Comfortable coordinating with an SI Partner — understanding scope boundaries, handoff points, and utility dependencies without micromanaging.  

PREFERRED BACKGROUND  

●  Domain experience in US Telecom — CDR processing, subscriber data, network inventory, or revenue assurance datasets aligned to EBI workloads (NRD, Compensation, TechOps, CB, etc.).  

●  Snowflake SnowPro Core or Advanced Data Engineer certification.  

●  Prior experience delivering migrations within an Client’s, consulting firm, or analytics-driven managed services engagement.  

●  Exposure to data observability and reconciliation tooling (Great Expectations, Monte Carlo, or custom validation frameworks).  

●  Familiarity with Snowflake Snowpark, Streams & Tasks, or Dynamic Tables for replacing legacy Teradata batch patterns.  

●  Experience with Databricks Unity Catalog or MLOps frameworks in an enterprise telecom context.  

WHAT WE'RE LOOKING FOR  

A hands-on technical lead who can walk into a live migration program, immediately understand script-level complexity, own execution accountability, and keep a distributed team moving at pace — without needing the SI Partner to hold their hand.  

●  Someone who can read a Teradata BTEQ script and a Snowflake execution plan in the same breath.  

●  A communicator who can run a 15-minute daily sync with EBI stakeholders and translate yesterday’s reconciliation failures into a clear resolution path.  

●  A leader who treats the 593-script scope not as a backlog item but as a delivery commitment with a hard October 2026 deadline.  

●  A professional who understands the rhythm of parallel run validation — tolerates expected data mismatches, drives iterative reconciliation, and knows when to escalate versus resolve.  


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About Infojini

Sourced by ZipRecruiter

Infojini Consulting is a full service IT consulting, services, and staffing firm with offices in Linthicum Heights ,Maryland, Washington, DC and Mumbai, India. Infojini Consulting is recognized as one of the fastest growing IT services and software development Companies. With a partnership of all major technology vendors, Infojini Consulting has built a strong Government and commercial customer base including fortune 100 companies and most state and federal agencies such as State of North Carolina, State of South Carolina, State of Maryland, State of California, State of Pennsylvania, State of Virginia, State of Washington and many others.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Columbia, MD, US

Year founded

2006