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Solutions Architect – Snowflake

Job in Berkeley Heights, Union County, New Jersey, 07922, USA
Listing for: Highbrow LLC
Full Time position
Listed on 2025-12-26
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Job Description & How to Apply Below

Job Title:

Solutions Architect – Snowflake

Job :

Job Location:

Alpharetta, GA or Berkeley Heights, NJ

Job Travel Location(s):

# Positions: 0

Employment Type:

W2

Candidate Constraints:

Duration:
Long Term

# of Layers:0

Work Eligibility:

All Work Authorizations are Permitted – No Visa Transfers

Key Technology:

Snowflake, MOVEit, Data Warehouse

Job Responsibilities:
  • Provide hands‑on technical leadership to the agile project team tasked with migrating MOVEit jobs to Snowflake.
  • Design and implement codified and repeatable migration patterns for different complexity Jobs from MOVEit to Snowflake. Extract, transform, and load logic to automate data collection and manage data processes/pipelines including data quality and monitoring
  • Design and build the migration factory with codified scripts and common plugins for accelerating/automating migration of jobs.
  • Provide design inputs to improve client implementation of Snowflake
  • Partner with cross functional stakeholders within and outside the business unit to build integrated solutions that can scale.
  • Write and review technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies
  • Design data pipelines based on business and functional requirements
  • Guide team on overall mapping and ETL process
  • Co-ordinate with multiple source systems team to get the required data in file formats and work with Architect to resolve any data issues or dependencies.
  • Contribute to the development of data frameworks on cloud
Skills and Experience

Required:
  • 10+ years of Data Architecture/Data Warehousing experience
  • Expert knowledge of Snowflake with more than eight (8) years of hands‑on experience with Snowflake
  • Exposure to Data warehousing and various ingestion patterns from multiple sources.
  • Good hands‑on experience in Snowflake migration projects with good understanding of Snowflake architecture and building pipelines for ingestion
  • Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures and standard DWH and ETL concepts
  • Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel and understand how to use these features
  • Experience in Data Migration to Snowflake cloud data warehouse
  • Experience with enterprise cloud economics Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)
  • Hands‑on expertise with SQL and SQL analytics
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