Data Architect-Hybrid 2days @ Chicago, IL or Battle Creek, Michigan-Need Locals Only - Cyber Sphere LLC - Hybrid in Chicago, IL, US | Dice.com

Cyber Sphere LLC

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Data Architect-Hybrid 2days @ Chicago, IL or Battle Creek, Michigan-Need Locals Only

Hybrid in Chicago, IL, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Hybrid

Depends on Experience

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Job Details

Skills

CPG
Food
Manufacturing
Data Architect
Data Architecture
AWS
Snowflake
Dbt
ETL/ELT
data governance
security
compliance
data modeling
warehouse design
data build tool
Kimball
Data Vault

Summary

Title - Data Architect

Location-Hybrid 2days @ Chicago or Michigan (any nearby place where it is easy to travel from)

Duration Contract

Any working Experience in CPG/Food Manufacturing domain.

We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimize our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and dbt, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modeling best practices.

Key Responsibilities

Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and dbt.
Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs.
Lead the modernization and migration of legacy data systems to cloud-native architectures.
Define and enforce data engineering best practices including coding standards, CI/CD, testing, and monitoring.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
Optimize Snowflake performance through query tuning, warehouse sizing, and cost management.
Establish and maintain data governance, security, and compliance standards across the data platform.
Mentor and guide junior data engineers, providing technical leadership and direction.

Required Skills & Qualifications

8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment.
Hands-on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM.
Strong experience with Snowflake data modeling, warehouse design, performance optimization, and cost governance.
Proven experience with dbt (data build tool) model development, documentation, and deployment automation.
Proficient in SQL, Python, and ETL/ELT pipeline development.
Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.).
Familiarity with data governance and security best practices, including role-based access control and data masking.
Strong understanding of data modeling techniques (Kimball, Data Vault, etc.) and data architecture principles.

Preferred Qualifications

AWS Certification (e.g., AWS Certified Data Analytics Specialty, Solutions Architect).
Strong communication and collaboration skills, with a track record of working in agile environments.

Regards,

Sai Srikar

Email:

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: 91081414
Position Id: 8827273
Posted 1 day ago

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