Creed Staffing
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Architect position based in Reading, PA, for a 12+ month contract at a pay rate of "unknown." Requires a Bachelor's degree, 10+ years in data architecture, and expertise in cloud platforms like AWS and Snowflake.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Reading, PA
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🧠 - Skills detailed
#Databases #Snowflake #Scala #Data Lake #SQL Server #Aurora #REST API #Docker #Kubernetes #PostgreSQL #Airflow #Talend #Agile #dbt (data build tool) #S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Data Engineering #Leadership #Computer Science #"ETL (Extract #Transform #Load)" #Python #DevOps #Data Architecture #Data Modeling #SQL (Structured Query Language) #Microservices #GIT #REST (Representational State Transfer) #Cloud #DynamoDB #Infrastructure as Code (IaC) #Spark (Apache Spark) #Redshift #AWS (Amazon Web Services)
Role description
Data Architect
Reading, PA- onsite
12+ Months Contract
Visa - USC,GC
Experience Required:
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of experience in data architecture, data engineering, or enterprise data platform development.
• 5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions.
• Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms.
• Experience designing distributed, scalable, and high-performance data architectures.
• Strong understanding of Agile development methodologies, CI/CD, and DevOps practices.
• Excellent communication, stakeholder management, and leadership skills.
Preferred Technical Skills
• Cloud & Data Platforms: AWS, Snowflake, S3, EMR, Glue, Redshift
• Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL
• Databases: SQL Server, PostgreSQL, Aurora, DynamoDB
• Architecture: Data Lake/Lakehouse, Event-Driven Architecture, Microservices, REST APIs, Data Modeling
• DevOps: Kubernetes, Docker, Git, CI/CD, Infrastructure as Code
Data Architect
Reading, PA- onsite
12+ Months Contract
Visa - USC,GC
Experience Required:
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of experience in data architecture, data engineering, or enterprise data platform development.
• 5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions.
• Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms.
• Experience designing distributed, scalable, and high-performance data architectures.
• Strong understanding of Agile development methodologies, CI/CD, and DevOps practices.
• Excellent communication, stakeholder management, and leadership skills.
Preferred Technical Skills
• Cloud & Data Platforms: AWS, Snowflake, S3, EMR, Glue, Redshift
• Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL
• Databases: SQL Server, PostgreSQL, Aurora, DynamoDB
• Architecture: Data Lake/Lakehouse, Event-Driven Architecture, Microservices, REST APIs, Data Modeling
• DevOps: Kubernetes, Docker, Git, CI/CD, Infrastructure as Code
