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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Indotronix Avani Group - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Systems Engineering, BigQuery, Cloud Storage, Information Systems, Data Architecture, Information Engineering, Data Infrastructure, Data Flow Control, MicroStrategy, Power BI, Data Streaming, Tableau (Software), Enterprise Data Management, Scripting, Sql Optimization, Delivery Pipeline, Event Driven Architecture, Information Technology, Collibra, Qlikview, Multiaccess Edge Computing - **Published:** October 5, 2026 - **Apply:** https://candidateportal.ceipal.com/job-details/8x3unZ7mrfLFRdIHdpDuEc_yp1efbvgQHLS7x5siT1M ## About the Role Master's degree in Computer Science, Information Systems, Engineering, or a related field - 8+ years in data architecture or data engineering roles - Deep expertise with GCP: BigQuery, Dataflow, Cloud Storage, Composer - Hands-on experience with Qlik, Fivetran, Google DTS, or similar ingestion tools - Proficiency in enterprise reporting platforms: MicroStrategy (preferred), Power BI, Tableau - Advanced SQL and data modeling capabilities - Experience designing secure and governed enterprise data environments Preferred Skills - GCP Professional Data Engineer or Architect certification - Experience with MicroStrategy Mosaic, Library, Workstation, or Semantic Graph - Python scripting for orchestration and pipeline automation - Familiarity with FinOps/cloud cost optimization practices - Experience with streaming architectures (Pub/Sub, Dataflow) - Knowledge of data catalog tools (Dataplex, Collibra, Alation), Master's degree in computer science information systems Engineering or related field8+ years of experience in data architecture or data engineeringStrong expertise with GCP (BigQuery Composer data flow Cloud Storage)Hands-on experience with Qlik Fivetran Google DTS or equivalent ingestion toolsProficiency with enterprise reporting platforms (preferably MicroStrategy plus Power BI/Tableau)Advanced SQL and data modeling expertiseExperience designing secure and governed data environments ## Description Join a high-impact team as a Senior Data Architect, driving the creation of scalable, cloud-native data ecosystems on Google Cloud Platform (GCP). You'll architect robust data solutions that power analytics, reporting, and AI-driven insights for enterprise stakeholders. This hybrid role based in Plano, TX is ideal for leaders passionate about modern data platforms, enterprise reporting, and optimizing cloud environments. Opportunity for contract-to-hire offers strong potential for career advancement in a collaborative, innovation-focused environment., Architect, design, and implement modern data platforms using GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Dataproc) - Establish and enforce data modeling standards (3NF, star, snowflake, semantic layers) to support enterprise analytics and reporting - Develop and optimize secure ETL/ELT pipelines for structured and semi-structured data using Fivetran, Google DTS, and Qlik - Integrate SaaS, on-premise, and cloud data sources for seamless enterprise data movement - Build and maintain data structures for enterprise reporting platforms (MicroStrategy, Power BI, Tableau) - Drive data governance for quality, metadata, lineage, and security using IAM and VPC-SC - Implement strategies for backup, disaster recovery, and high availability - Partner with engineering, analytics, and reporting teams to drive unified, governed data layers and improve BI adoption - Mentor junior engineers and contribute to cross-functional architecture reviews ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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