GCP Data Architect - Director in Mundelein

Energy Jobline
Mundelein, IL, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Big Data BigQuery Cloud Computing Security Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Warehousing Google Cloud Apache Spark Data Lakes Data Management
+2 more
Data Pipelines Databricks

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

  • Strong experience with Google Cloud Platform (GCP) and Databricks. \n

  • Expertise in BigQuery, Apache Spark, Delta Lake, and lakehouse architecture. \n

  • Hands-on experience with ETL/ELT pipelines, data warehousing, and data integration. \n

  • Knowledge of GCP data services, cloud security, governance, and cost optimization. \n

  • Experience designing scalable data platforms and handling large datasets. \n

  • 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

  • Architect data lakes, data warehouses, and lakehouse platforms using Databricks, BigQuery, Apache Spark, and Delta Lake. \n

  • Design and optimize data pipelines, ETL/ELT processes, and data integration frameworks. \n

  • Leverage GCP services such as Cloud Storage, Dataflow, and Pub/Sub for data processing and integration. \n

  • Define data modeling, governance, security, quality, and performance optimization standards. \n

  • Lead cloud data migration and modernization initiatives. \n

  • Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into scalable technical solutions. \n

  • Support advanced analytics, AI/ML, and Generative AI initiatives through modern data platforms. \n

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