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Snowflake Data Engineer

Momento USA LLC
Charlotte, NC, United States
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Airflow ARM Architecture Microsoft Azure Data Architecture Information Engineering Data Governance Python (Programming Language) Machine Learning DataOps Software Engineering SQL Databases
+4 more
Workflow Management Systems Azure Data Factory Sql Optimization Snowflake

Job description

Data Architecture & Strategic Design: Define and drive the technical vision for the modern data architecture on Azure and Snowflake. Optimize compute and storage costs.

  • Engineering Excellence & Team Leadership: Write, optimize, and review complex code in Python and SQL. Define engineering best practices and mentor junior to mid-level engineers.

  • Data Governance & Reliability (DataOps): Implement data observability and quality solutions, maintain data lineage, and ensure strict compliance and security.

  • AI/ML Enablement & Innovation: Partner with Data Science teams to architect infrastructure for AI/ML models and pilot GenAI techniques (e.g., Snowflake Cortex).

Requirements

7+ years of progressive experience in Data Engineering or Software Engineering.

  • Expert proficiency in Python and Advanced SQL, with deep experience in Snowflake and Microsoft Azure.

  • Strong experience with dbt and workflow orchestration (Airflow, Azure Data Factory).

  • Experience in the Financial Services or Asset Management industry is highly preferred.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · WWC 2024

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Enjoying SQL data pipelines with dbt thumbnail
26:53
WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Hacking AI at the Edge of the Indian Ocean thumbnail
29:03
WWC Europe 2026 • about 1 month ago

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska, James Cha-Earley

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment thumbnail
25:41
WWC 2024 • almost 2 years ago

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

Joy

Modern Data Architectures need Software Engineering thumbnail
29:25
WWC 2024 • almost 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

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