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Data Engineering Manager with Azure snowflake

Anywhere
full-time
Posted 9/13/2025
Verified Source
Key Skills:
Data Warehouse
Azure
Snowflake
ETL/ELT
IICS
Informatica
StreamSets
Astronomer
DBT
Python
Databricks
ADF
SSIS
SSRS
Power BI
Data Modeling
CI/CD
SOX
SOC-2
NYDFS

Compensation

Salary Range

$150K - 200K a year

Responsibilities

Lead and manage data engineering teams focusing on data warehouse, ETL/ELT processes, regulatory compliance, and automation in an Azure and Snowflake environment.

Requirements

14+ years experience in data engineering and management, expertise in Azure and Snowflake, regulatory compliance knowledge, and hands-on experience with multiple data engineering tools and processes.

Full Description

Job Title: Data Engineering Manager with Azure snowflake Experience: 14+ years Location : Remote Duration: Fulltime Experience • Minimum of 10+ years of experience in Data Warehouse, Product Management and information technology fields • Should have some P&C experience • 5+ years of experience in a management leadership role - employment history must demonstrate increasing levels of responsibility • Demonstrated experience working in an environment that requires SOX, SOC-2, NYDFS, and other regulations compliance. • 6+ years ETL/ELT experience working with IICS, Informatica, StreamSets, Astronomer, DBT, Python, Data bricks, Snowflake and ADF or equivalent technologies • 4+ years hands on experience with Snowflake • Experience working with SSIS, SSRS, and Power BI • 3+ years hands on experience working in an Azure environment Experience with Data warehouse/ data lake/ data hub modeling • Experience working with external data feed to enrich internal data- desired • 3+ years hands on experience with data standardization/conformance/transformation process • Solid understanding of MDM and reference data • 3+ years hands on experience with Orchestration & CI/CD process, especially in data engineering, • Experience working in SOX and SOC-2 compliant environment • Experience with automated monitoring of data loads, developing automated workflows.

This job posting was last updated on 9/17/2025

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