GCP Data Architect - Director in Mundelein
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Role details
Tech stack
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Job description
We are seeking an experienced GCP Data Architect with strong expertise in Google Cloud Platform (GCP) and Databricks to design and implement scalable, secure, and high-performance enterprise data solutions.
Requirements
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15+ years of experience in data architecture, data engineering, or related roles. \n
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Strong experience with Google Cloud Platform (GCP) and Databricks. \n
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Expertise in BigQuery, Apache Spark, Delta Lake, and lakehouse architecture. \n
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Hands-on experience with ETL/ELT pipelines, data warehousing, and data integration. \n
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Knowledge of GCP data services, cloud security, governance, and cost optimization. \n
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Experience designing scalable data platforms and handling large datasets. \n
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Strong analytical, problem-solving, and communication skills. \n
Benefits & conditions
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Design end-to-end data architecture and cloud data solutions on GCP. \n
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Architect data lakes, data warehouses, and lakehouse platforms using Databricks, BigQuery, Apache Spark, and Delta Lake. \n
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Design and optimize data pipelines, ETL/ELT processes, and data integration frameworks. \n
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Leverage GCP services such as Cloud Storage, Dataflow, and Pub/Sub for data processing and integration. \n
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Define data modeling, governance, security, quality, and performance optimization standards. \n
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Lead cloud data migration and modernization initiatives. \n
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Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into scalable technical solutions. \n
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Support advanced analytics, AI/ML, and Generative AI initiatives through modern data platforms. \n
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