Insight Global
Data Architect/Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect/Engineer, 6-month contract, offering a competitive pay rate. Requires 10+ years in data architecture, advanced Python and SQL skills, GCP expertise, and hands-on DBT experience. Strong data modeling and troubleshooting abilities essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
May 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #Data Engineering #Data Pipeline #CRM (Customer Relationship Management) #Python #Data Mining #SQL (Structured Query Language) #Visualization #IAM (Identity and Access Management) #Google Cloud Storage #Data Modeling #Data Architecture #"ETL (Extract #Transform #Load)" #dbt (data build tool) #GCP (Google Cloud Platform) #Storage #Cloud #BigQuery #AI (Artificial Intelligence) #ML (Machine Learning) #Big Data
Role description
Required Skills & Experience
• 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).
• Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.
• Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.
• Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.
• Hands-on experience using DBT for data modeling and transformation workflows.
Strong understanding and application of ERD architecture in enterprise data systems.
Job Description
Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.
• Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more.
• Support data visualization initiatives and ensure data is accessible and actionable.
• Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.
Team Dynamic:
Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.
Tools & Skills: ○ Proficient in Python and SQL for pipeline development. ○ Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones.
Mindset: Business-oriented with a strong analytical approach.
AI/ML Initiatives (Approx. 5% of time)
Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI.
Scope: Limited involvement, primarily assisting with existing initiatives and tools.
Data Engineering (Approx. 15% of time)
Responsibilities: Design and implement scalable data models, pipelines, and architecture.
Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.
Required Skills & Experience
• 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).
• Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.
• Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.
• Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.
• Hands-on experience using DBT for data modeling and transformation workflows.
Strong understanding and application of ERD architecture in enterprise data systems.
Job Description
Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.
• Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more.
• Support data visualization initiatives and ensure data is accessible and actionable.
• Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.
Team Dynamic:
Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.
Tools & Skills: ○ Proficient in Python and SQL for pipeline development. ○ Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones.
Mindset: Business-oriented with a strong analytical approach.
AI/ML Initiatives (Approx. 5% of time)
Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI.
Scope: Limited involvement, primarily assisting with existing initiatives and tools.
Data Engineering (Approx. 15% of time)
Responsibilities: Design and implement scalable data models, pipelines, and architecture.
Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.
