Data Architect(GCP

HMG AMERICA LLC; Atlanta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

HMG America LLC is seeking a Data Architect to lead the design of scalable data platforms on Google Cloud. This on-site role requires expertise in Cloud Spanner, graph databases, and data modeling to translate complex business requirements into scalable solutions.

The role collaborates with engineering, applications, and business teams to define architecture strategies and ensure alignment with enterprise standards. Local candidates in Atlanta or Seattle are preferred for on-site work.

Qualifications

• Experience designing data architectures on Google Cloud Platform (GCP).
• Deep expertise with Cloud Spanner, graph databases, and data modeling.
• Strong understanding of distributed cloud data architectures and SQL.
• Excellent communication, leadership and stakeholder-management skills.

Responsibilities

• Define and lead enterprise data architecture strategies using GCP.
• Design scalable, highly available, and secure cloud data platforms.
• Architect solutions leveraging Cloud Spanner and distributed databases.
• Design and implement graph database architectures and graph-based data models.
• Define conceptual, logical, and physical data models.
• Establish database architecture, schemas, data standards, and best practices.
• Evaluate technology choices and recommend database and data platform solutions.
• Design data integration, ingestion, transformation, and processing architectures.
• Develop architecture patterns for high-volume, distributed workloads.
• Partner with Data Engineers, Software Engineers, Product teams, and stakeholders.
• Provide technical leadership and architectural guidance to engineering teams.
• Establish standards for data security, governance, quality, scalability and performance.
• Review technical designs for alignment with standards.
• Identify opportunities to improve data platform performance and cost efficiency.

Skills

GCP

Cloud Spanner

Graph DBs

Data Modeling

Distributed Architectures

SQL

Enterprise Data

Governance

Stakeholder Mgmt

Communication

Tools

BigQuery

Dataflow

Pub/Sub

Dataproc

Composer

Neo4j

Job description

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for (Title) in (Location). Below is the detailed job description.

Position: Data Architect GCP

Location: Atlanta, GA / Seattle, WA

Work Arrangement: On-site Local candidates only

Employment Type: Contract or Full-Time

About The Role

We are seeking an experienced GCP Data Architect to lead the design and architecture of modern, scalable data platforms on Google Cloud. The ideal candidate will have deep expertise in Cloud Spanner, graph databases, data modeling, and distributed cloud data architectures.

The Data Architect will work closely with engineering, application, and business teams to define data architecture strategies and translate complex business requirements into scalable technical solutions.

This is an on-site position. Candidates must be local to the Atlanta or Seattle area and available to work on-site.

Key Responsibilities

• Define and lead enterprise data architecture strategies using GCP.
• Design scalable, highly available, and secure cloud data platforms.
• Architect solutions leveraging Cloud Spanner and distributed database technologies.
• Design and implement graph database architectures and graph-based data models.
• Define conceptual, logical, and physical data models.
• Establish database architecture, schemas, data standards, and best practices.
• Evaluate technology choices and recommend appropriate database and data platform solutions.
• Design data integration, ingestion, transformation, and processing architectures.
• Develop architecture patterns for high-volume, distributed, and mission-critical workloads.
• Partner with Data Engineers, Software Engineers, Product teams, and stakeholders.
• Provide technical leadership and architectural guidance to engineering teams.
• Establish standards for data security, governance, quality, scalability, and performance.
• Review technical designs and ensure alignment with enterprise architecture standards.
• Identify opportunities to improve data platform performance, reliability, and cost efficiency.

Required Skills

• Strong experience designing data architectures on Google Cloud Platform (GCP).
• Deep hands-on knowledge of Cloud Spanner.
• Strong expertise with graph databases and graph data modeling.
• Strong understanding of distributed databases and cloud-native architectures.
• Expertise in conceptual, logical, and physical data modeling.
• Strong SQL and database architecture skills.
• Experience designing enterprise-scale data platforms and pipelines.
• Strong understanding of data integration and data governance.
• Experience with scalable, highly available, and fault-tolerant architectures.
• Strong communication, technical leadership, and stakeholder-management skills.

Preferred Skills

• Experience with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Composer.
• Experience with Neo4j or other graph database technologies.
• Programming experience with Python, Java, or Scala.
• Experience with microservices and distributed systems.
• Experience establishing enterprise data architecture standards and reference architectures.
• Experience in large-scale enterprise or cloud transformation initiatives.