Big Data Architect (AdTech Focus) - Remote Contract

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Architect (AdTech Focus) with a contract duration of 6+ months, remote within the US. Key requirements include 10+ years in data architecture, expertise in GCP, DBT, SQL, and Python, and experience in media or advertising sectors.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Programming #Looker #Python #Batch #dbt (data build tool) #SQL (Structured Query Language) #Data Architecture #"ETL (Extract #Transform #Load)" #Visualization #Logical Data Model #Databases #Data Science #Cloud #Data Pipeline #Big Data #Datasets #Scala #Data Mining #Tableau #Data Lake #GCP (Google Cloud Platform) #Data Warehouse #BigQuery
Role description
Location: This is a fully remote position, open to candidates in the US ONLY. Working Hours: You will be working Pacific Timezone hours. Duration: This is a contract position with a 6+ month duration. We're looking for a Big Data Architect to join our team at a leading US-based media provider. In this role, you will be a key player in designing, optimizing, and leading the data architecture across our dynamic media and advertising platforms. If you have deep expertise in big data environments and a passion for building high-performance, scalable data solutions, this is the perfect opportunity for you. What You'll Do Design and refine conceptual and logical data models for diverse media and advertising use cases, including impression tracking, audience segmentation, and campaign performance. Implement end-to-end data architecture strategies to ensure our systems are high-performance, scalable, and secure. Develop and maintain efficient, reliable data pipelines that power both real-time and batch analytics. Continuously improve system performance through rigorous testing, troubleshooting, and integrating new technologies. Collaborate with engineering, data science, and product teams to support dynamic reporting, ad personalization, and audience intelligence initiatives. Who You Are You have at least 10+ years of experience in data architecture and modeling, with a strong foundation in relational and distributed systems. Ideally, you have 3+ years of experience working in big data environments that manage 100TB+ of data, with a specific focus on the media, advertising, or marketing technology sectors. You have hands-on expertise with the following: Google Cloud Platform (GCP): You have deep experience with BigQuery, GCS, Cloud Functions, and Cloud Composer. Data Transformation: You are highly proficient with DBT (Data Build Tool) for complex data transformation and modeling. Programming & Databases: You have advanced skills in SQL and Python, as well as a strong understanding of relational and distributed databases. Data Architecture: You have a solid grasp of data lake and data warehouse principles, with a focus on high-throughput, large-scale environments. AdTech-Specific Skills: You are an expert in data mining and segmentation techniques, particularly in programmatic advertising or cross-channel analytics. Tools: You are familiar with data visualization tools like Looker or Tableau and are able to build and maintain data pipelines for complex ad tech and media datasets.