

ChabezTech LLC
Big Data Architect / Data Architect (Hands-On Coding)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Architect/Data Architect (Hands-On Coding) in Atlanta, GA, on a long-term contract. Requires 15+ years in Data Engineering, strong Python and SQL skills, expertise in big data frameworks, and cloud-native architecture experience.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
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🗓️ - Date
January 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Corp-to-Corp (C2C)
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA 30326
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🧠 - Skills detailed
#BigQuery #ADLS (Azure Data Lake Storage) #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Data Framework #S3 (Amazon Simple Storage Service) #Data Processing #Airflow #Cloud #Azure #Databases #Snowflake #Data Warehouse #Talend #Redshift #Data Engineering #Data Governance #Kafka (Apache Kafka) #Scala #NoSQL #Synapse #Java #Spark (Apache Spark) #Data Architecture #Hadoop #Data Modeling #Azure ADLS (Azure Data Lake Storage) #AWS (Amazon Web Services) #Google Cloud Storage #Python #Storage #Leadership #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #dbt (data build tool) #Big Data #Data Lake #Informatica
Role description
Company Description
About Chabez Tech
Chabez Tech is a Data Engineering & AI Products company headquartered in Pennsylvania, focused on digitally transforming businesses and helping them achieve operational and customer excellence. We deliver scalable data solutions, advanced AI frameworks, and long-term platform implementation support.
This position supports a strategic internal platform initiative to enhance our own digital analytics and reporting capabilities.
Job Description
Big Data Architect / Data Architect (Hands-On Coding)
Location: Atlanta, GA (Onsite)
Engagement: Long-Term Contract (C2C)
Experience Required: 15+ Years
About Chabez Tech
Chabez Tech is a Data Engineering and AI Products company delivering scalable, cloud-native solutions that help organizations achieve operational and customer excellence. Headquartered in Pennsylvania, we partner with enterprises to digitally transform their data ecosystems through modern data engineering, AI, and platform solutions.
We specialize in building robust data platforms, accelerating product initiatives, and enabling operational efficiency through flexible, customizable solutions across industries.
Role Overview
We are seeking a highly experienced Big Data Architect / Data Architect with strong hands-on coding expertise to design, build, and scale modern data platforms. This role requires deep expertise in data architecture, distributed systems, and cloud-native big data technologies, along with the ability to contribute directly through development.
Key Responsibilities
Design and implement end-to-end big data architectures for large-scale, high-volume systems
Lead data modeling efforts across dimensional, relational, and NoSQL models
Develop and optimize distributed data processing pipelines
Provide hands-on development using Python, SQL, and Spark-based frameworks
Architect and implement cloud-native data solutions
Collaborate with cross-functional teams to deliver scalable, secure, and high-performance data platforms
Ensure best practices for performance, scalability, reliability, and data governance
Required Skills & Experience
15+ years of experience in Data Engineering / Data Architecture
Strong hands-on coding experience in:
Python (preferred)
Advanced SQL
Scala or Java (nice to have)
Strong understanding of distributed systems and large-scale data processing
Expertise in data modeling (dimensional, relational, NoSQL)
Proven experience designing enterprise-grade data architectures
Big Data & Data Technologies
Big Data Frameworks: Spark, Hadoop, Kafka
Databases / Data Warehouses: Snowflake, Redshift, BigQuery, Azure Synapse
Data Lakes: Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS)
ETL / ELT Tools: Airflow, dbt, Informatica, Talend (any one or more)
Cloud Platforms
Experience with at least one major cloud provider:
AWS or Azure or GCP
Strong experience designing and implementing cloud-native data architectures
Nice to Have
Experience working in large enterprise environments
Strong communication and technical leadership skills
Ability to mentor engineers and influence architectural decisions
Thanks & Regards
Utsav Burman
Head North America Ops
ChabezTech LLC
4 Lemoyne Dr #102, Lemoyne, PA 17043, USA
Phone: +1-717-441-5440 (US) | +91-8097 164 089 ( India )
Email: utsav@ chabeztech.com | www.chabeztech.com
GSA Multiple Award Schedule (MAS) | E-Verify Company
Additional Information
All your information will be kept confidential according to EEO guidelines.
Company Description
About Chabez Tech
Chabez Tech is a Data Engineering & AI Products company headquartered in Pennsylvania, focused on digitally transforming businesses and helping them achieve operational and customer excellence. We deliver scalable data solutions, advanced AI frameworks, and long-term platform implementation support.
This position supports a strategic internal platform initiative to enhance our own digital analytics and reporting capabilities.
Job Description
Big Data Architect / Data Architect (Hands-On Coding)
Location: Atlanta, GA (Onsite)
Engagement: Long-Term Contract (C2C)
Experience Required: 15+ Years
About Chabez Tech
Chabez Tech is a Data Engineering and AI Products company delivering scalable, cloud-native solutions that help organizations achieve operational and customer excellence. Headquartered in Pennsylvania, we partner with enterprises to digitally transform their data ecosystems through modern data engineering, AI, and platform solutions.
We specialize in building robust data platforms, accelerating product initiatives, and enabling operational efficiency through flexible, customizable solutions across industries.
Role Overview
We are seeking a highly experienced Big Data Architect / Data Architect with strong hands-on coding expertise to design, build, and scale modern data platforms. This role requires deep expertise in data architecture, distributed systems, and cloud-native big data technologies, along with the ability to contribute directly through development.
Key Responsibilities
Design and implement end-to-end big data architectures for large-scale, high-volume systems
Lead data modeling efforts across dimensional, relational, and NoSQL models
Develop and optimize distributed data processing pipelines
Provide hands-on development using Python, SQL, and Spark-based frameworks
Architect and implement cloud-native data solutions
Collaborate with cross-functional teams to deliver scalable, secure, and high-performance data platforms
Ensure best practices for performance, scalability, reliability, and data governance
Required Skills & Experience
15+ years of experience in Data Engineering / Data Architecture
Strong hands-on coding experience in:
Python (preferred)
Advanced SQL
Scala or Java (nice to have)
Strong understanding of distributed systems and large-scale data processing
Expertise in data modeling (dimensional, relational, NoSQL)
Proven experience designing enterprise-grade data architectures
Big Data & Data Technologies
Big Data Frameworks: Spark, Hadoop, Kafka
Databases / Data Warehouses: Snowflake, Redshift, BigQuery, Azure Synapse
Data Lakes: Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS)
ETL / ELT Tools: Airflow, dbt, Informatica, Talend (any one or more)
Cloud Platforms
Experience with at least one major cloud provider:
AWS or Azure or GCP
Strong experience designing and implementing cloud-native data architectures
Nice to Have
Experience working in large enterprise environments
Strong communication and technical leadership skills
Ability to mentor engineers and influence architectural decisions
Thanks & Regards
Utsav Burman
Head North America Ops
ChabezTech LLC
4 Lemoyne Dr #102, Lemoyne, PA 17043, USA
Phone: +1-717-441-5440 (US) | +91-8097 164 089 ( India )
Email: utsav@ chabeztech.com | www.chabeztech.com
GSA Multiple Award Schedule (MAS) | E-Verify Company
Additional Information
All your information will be kept confidential according to EEO guidelines.






