GCP Data Architect: Lakehouse & Data Modernization Leader

Arkhya Tech. Inc.; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Arkhya Tech. Inc. seeks an experienced GCP Data Architect to lead enterprise-scale cloud data architecture and modernization on Google Cloud Platform. You will design scalable Data Lakes, Data Warehouses, and Lakehouse platforms and guide data engineering and business teams.

The role requires hands-on expertise in GCP data services, data modeling, and cloud modernization, with collaboration across Data Engineers, Cloud Engineers, DevOps, Security, Analytics, and business stakeholders.

Qualifications

• Experience with Google Cloud Platform (GCP) and enterprise data architecture.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow.
• Strong SQL and Python skills; experience with PySpark/Spark.
• Experience with Dataplex/Data Catalog, Databricks and/or Snowflake; Kafka and CDC pipelines.
• CI/CD and Git-based development; Data Mesh or Lakehouse architectures seen as a plus.

Responsibilities

• Design scalable, secure data architectures on GCP.
• Architect Data Lakes, Data Warehouses, and Lakehouse platforms.
• Design and implement data platforms using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer/Airflow.
• Lead cloud data modernization and migrations from on-premises to GCP.
• Define enterprise data models, data integration patterns, and technical roadmaps.

Skills

GCP Data Architecture

BigQuery

Dataflow

Pub/Sub

Cloud Composer / Airflow

SQL

Python

PySpark / Spark

Terraform / IaC

Data Modeling

ETL / ELT

Data Lakes / Data Warehouses / Lakehu​

Data Governance

Batch & Streaming

IAM / Security / Networking

Tools

Dataplex

Data Catalog

Databricks

Snowflake

Kafka

CI/CD

Git

Job description

Arkhya Tech. Inc. seeks an experienced GCP Data Architect to lead enterprise-scale cloud data architecture and modernization on Google Cloud Platform. You will design scalable Data Lakes, Data Warehouses, and Lakehouse platforms and guide data engineering and business teams.

The role requires hands-on expertise in GCP data services, data modeling, and cloud modernization, with collaboration across Data Engineers, Cloud Engineers, DevOps, Security, Analytics, and business stakeholders.