Snowflake Data Architect

Hybrid in Berkeley Heights, NJ, US • Posted 1 day ago • Updated 5 hours ago

Contract W2

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Snow Flake Schema

Summary

Snowflake Data Architect

Location: Berkeley Heights, NJ
Experience Level: Senior / Principal
Industry Focus: Financial Services, Healthcare, Manufacturing, Fortune 500 Enterprise

Position Overview

We are seeking a highly experienced Data Architect to design, build, and optimize enterprise-grade data solutions in complex, large-scale environments. This role requires deep expertise in Snowflake, cloud data platforms, and modern ELT architectures, combined with strong business acumen and leadership capabilities.

You will play a key role in architecting scalable data warehouse solutions, leading data migration initiatives, and driving measurable business outcomes for enterprise clients.

This is not a hands-on developer-only role — we are looking for a strategic technical leader who can translate complex business problems into high-impact, scalable data solutions.

Key Responsibilities

Architecture & Engineering

Design and implement enterprise data warehouse solutions using Snowflake.
Architect and optimize large-scale ETL/ELT pipelines.
Lead data migration initiatives from legacy systems to modern cloud platforms.
Develop and maintain scalable data models using SQL, Python, and dbt.
Implement performance optimization strategies achieving measurable improvements.
Troubleshoot and resolve production data issues in mission-critical environments.

Cloud & Platform Strategy

Design and implement data solutions across Azure, AWS, or Google Cloud Platform.
Define best practices for cloud data architecture and governance.
Ensure scalability, reliability, and security of enterprise data platforms.

Leadership & Stakeholder Engagement

Translate complex business requirements into technical data solutions.
Partner with executive stakeholders and cross-functional teams.
Lead and mentor junior data engineers.
Drive delivery across multi-stakeholder enterprise environments.
Demonstrate measurable ROI through cost savings, performance gains, or SLA improvements.

Required Qualifications

7–10 years of relevant data engineering experience (minimum 5 years for exceptional candidates).
Expert-level SQL proficiency.
Expert-level Snowflake experience.
Strong Python skills in a data engineering context.
Experience with Azure, AWS, or Google Cloud Platform cloud platforms.
Hands-on experience with dbt.
Enterprise data warehouse design experience.
Large-scale ETL/ELT pipeline implementation.
Data migration project leadership experience.
Experience mentoring or leading engineering teams.
Bachelor’s degree in Computer Science, Engineering, or related technical field.

Preferred Qualifications

Snowflake SnowPro Core certification (strongly preferred).
Snowflake SnowPro Advanced Architect certification.
Microsoft Azure Data or Solutions Architect certification.
dbt certification.
Master’s degree (MBA, M.S. in Data Science, Information Science, or related field).
Experience in Financial Services, Healthcare, Manufacturing, or Fortune 500 enterprises.
Demonstrated 30–90% performance optimization improvements.
Proven record of measurable business impact (cost savings, system performance, SLA improvements).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10124305
Position Id: 8901210
Posted 1 day ago

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