GCP Data Architect
Location: Charlotte, NC
Work Model: Hybrid
Job Type: Contract
Duration: Long-Term Contract
Joining: Immediate Joiner / Short Notice Preferred
Job Summary
We are looking for an experienced GCP Data Architect to design and lead enterprise-scale cloud data architecture and modernization initiatives on Google Cloud Platform (GCP). The ideal candidate should have strong hands-on experience with GCP data services, data architecture, data engineering, data modeling, and cloud data modernization.
The candidate will be responsible for designing scalable and secure Data Lakes, Data Warehouses, and Lakehouse platforms, while providing architectural guidance to data engineering and business teams.
Key Responsibilities
Design and implement scalable, secure, and high-performance data architectures on GCP.
Architect enterprise Data Lakes, Data Warehouses, and Lakehouse solutions.
Design and implement data platforms using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer/Airflow.
Lead cloud data modernization and migration initiatives from legacy/on-premises platforms to GCP.
Define enterprise data models, data integration patterns, architecture standards, and technical roadmaps.
Design both batch and real-time/streaming data processing architectures.
Develop scalable ETL/ELT frameworks using SQL, Python, PySpark, Spark, and Apache Beam.
Design event-driven data architectures using Pub/Sub.
Establish data governance, data quality, metadata, lineage, security, and access-control standards.
Optimize GCP data platforms for scalability, reliability, performance, and cost.
Work closely with Data Engineers, Cloud Engineers, DevOps, Security, Analytics, and Business teams.
Provide technical leadership and architectural guidance throughout the project lifecycle.
Implement Infrastructure as Code using Terraform where required.
Required Skills
Strong experience with Google Cloud Platform (GCP) and enterprise data architecture.
Hands-on expertise with:
BigQuery
Cloud Storage (GCS)
Dataflow
Pub/Sub
Dataproc
Cloud Composer / Airflow
Strong understanding of:
Data Lakes
Data Warehouses
Lakehouse Architecture
ETL/ELT
Data Modeling
Batch & Streaming Architecture
Data Governance
Strong SQL and Python skills.
Experience with PySpark / Spark and large-scale data processing.
Experience with Terraform / Infrastructure as Code.
Knowledge of GCP IAM, security, networking, scalability, and high availability.
Strong experience designing enterprise-scale distributed data platforms.
Excellent communication and stakeholder-management skills.
Preferred Skills
GCP Professional Cloud Architect or Professional Data Engineer certification.
Experience with Dataplex / Data Catalog.
Experience with Databricks and/or Snowflake.
Experience with Kafka and CDC pipelines.
Experience with CI/CD and Git-based development.
Experience with Data Mesh or modern Lakehouse architectures.
Experience in Banking / Financial Services is a plus.
Candidate Requirements
Immediate joiner or candidate available within 1–2 weeks strongly preferred.
Must be willing to work hybrid from Charlotte, NC.
Strong recent hands-on GCP Data Architecture experience is required.
Candidates with strong enterprise data modernization experience will be highly preferred.

GCP Data Architect

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