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Senior System Architect/Data Architect AWS & Snowflake Data Warehouse

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Berkeley Heights (NJ)

On-site

USD 167,000 - 227,000

Full time

2 days ago
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Job summary

A leading company is seeking a highly experienced Senior System Architect/Data Architect to design and implement data warehouse solutions using Snowflake on AWS. This role involves architecting efficient data pipelines, ensuring robust data security and compliance, and collaborating with business teams to align architectural goals.

Qualifications

  • Minimum 15 years in data architecture and systems design.
  • Hands-on experience with Snowflake and AWS services.
  • Expertise in ELT/ETL architecture and data pipeline orchestration.

Responsibilities

  • Lead the architecture of cloud-native data warehouse solutions using Snowflake on AWS.
  • Design data ingestion frameworks and oversee ELT pipelines using AWS services.
  • Implement data security, compliance, and governance frameworks.

Skills

SQL
Data modeling
Performance tuning
Data security

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake
AWS
dbt
Airflow

Job description

Senior System Architect/Data Architect AWS & Snowflake Data Warehouse
Senior System Architect/Data Architect AWS & Snowflake Data Warehouse

1 week ago Be among the first 25 applicants

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Job Title: Senior System Architect AWS & Snowflake Data Warehouse

Location: Berkeley Heights, NJ

Role Overview:

We are looking for a highly experienced Senior System Architect with a proven track record of

designing and implementing enterprise-grade data warehouse solutions using Snowflake on

AWS. This role will drive the end-to-end architecture from sourcing data across heterogeneous

systems to integration, transformation, provisioning, and secure access through modern,

scalable, and performant data pipelines.

Key Responsibilities:

Lead the end-to-end architecture of cloud-native data warehouse solutions using Snowflake on AWS.

Design data ingestion frameworks to source structured, semi-structured, and unstructured data from diverse internal and external systems.

Architect and oversee efficient, resilient ELT pipelines using AWS services (e.g., S3, Glue, Lambda, Step Functions).

Define data modeling strategies, schema optimization, and partitioning approaches within Snowflake to support high-performance workloads.

Establish enterprise-wide standards for data integration, transformation, and metadata management.

Implement robust data security, including IAM integrations, RBAC, encryption, masking, auditing, and compliance controls.

Collaborate with engineering, analytics, and business teams to ensure architectural alignment and stakeholder satisfaction.

Provide technical leadership on best practices, architectural governance, and tool selection.

Develop and maintain comprehensive technical documentation, architecture diagrams, and operational models.

Required Qualifications:

Minimum 15 years of experience in data architecture, systems design, and enterprise data platform development.

Hands-on experience with Snowflake including query optimization, virtual warehouses, data sharing, and security integrations.

Deep understanding of AWS services relevant to data architecture (e.g., S3, Glue, Lambda, Redshift, CloudWatch, IAM).

Proven expertise in ELT/ETL architecture, data lake/data warehouse design, and data pipeline orchestration.

Strong skills in SQL, data modeling, and performance tuning at scale.

Experience implementing security, compliance, and governance frameworks (e.g.,HIPAA, GDPR, SOC2).

Excellent communication and collaboration skills with the ability to work across business and technical teams

Preferred Qualifications:

SnowPro Advanced Architect or equivalent certification.

Experience with tools such as dbt, Airflow, Informatica, or Matillion.

Exposure to real-time data streaming, event-driven architectures, and DevOps/CI-CD pipelines.

Background in regulated industries (e.g., finance, insurance, healthcare) is a strong plu

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Software Development

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