Senior GCP Data Architect — Lakehouse & AI Solutions

Evalueserve; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid working model

Great place to work recognition

Job summary

Evalueserve is seeking a Senior GCP Data Architect to define enterprise data strategy, design scalable Lakehouse solutions, and lead data modernization initiatives in Chicago. You will enable analytics, AI/ML, and BI use cases while guiding enterprise data, analytics, and AI solutions on Google Cloud Platform.

You will architect scalable, secure, and cost-optimized GCP architectures using BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, Dataplex, Vertex AI, and Gemini,

Qualifications

• 15-25 years of overall experience in Data Engineering, Data Architecture, Data Warehousing, Big Data, or Cloud Data Platforms.
• Strong hands-on experience with Databricks, Apache Spark, PySpark or Scala, Spark SQL, Delta Lake, Databricks Workflows, and Databricks SQL.
• Good understanding of Databricks Lakehouse architecture, Unity Catalog, Delta Live Tables, Auto Loader, MLflow, job orchestration, and cluster optimization.

Responsibilities

• Design enterprise-scale data architecture using Databricks Lakehouse, Spark, Delta Lake and cloud-native data platforms.
• Lead data platform modernization from legacy Hadoop/WH environments to lakehouse and cloud architectures.
• Define architecture standards for data ingestion, ETL/ELT, data modeling, data warehousing, governance, security, and performance optimization.

Skills

Databricks

GCP

Data Architecture

Big Data

Spark

Delta Lake

Cloud Data Platforms

Data Quality

CI/CD

Pre-sales

Tools

Hadoop

Apache Spark

Informatica

Talend

Azure Data Factory

AWS Glue

dbt

Airflow

Oozie

Job description

Evalueserve is seeking a Senior GCP Data Architect to define enterprise data strategy, design scalable Lakehouse solutions, and lead data modernization initiatives in Chicago. You will enable analytics, AI/ML, and BI use cases while guiding enterprise data, analytics, and AI solutions on Google Cloud Platform.

You will architect scalable, secure, and cost-optimized GCP architectures using BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, Dataplex, Vertex AI, and Gemini,