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The Avian Consulting LLC

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Data Architect

Summary

Hi,

Hope you are doing well.

Position: Google Cloud Platform / AI Data Solution Architect

Location: Atlanta, GA (Hybrid)

Job Description:

Strategic & Architectural Leadership

Define and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.
Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.
Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.
Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.
Provide architectural guidance on ethical, responsible, and compliant AI adoption.

Solution Architecture & Platform Design

Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.

Design and govern cloud-based data platforms leveraging:
- Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)
- AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)
- Snowflake (data warehouse, data sharing, performance optimization)
Architect modern enterprise data architectures, including:
- Data Lake, Lakehouse, Data Mesh, and Data Fabric
- Open table/file formats such as Parquet, Iceberg, Delta Lake
- Medallion architectures (Bronze/Silver/Gold)
Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).
Define and enforce data quality, metadata, lineage, and access control standards.

AI, ML, and Generative AI Architecture

Design and implement AI/ML and GenAI solution architectures from experimentation through production.
Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.
Lead architecture for Generative AI and Agentic AI, including:
- LLM integration with tools, APIs, and knowledge bases (RAG patterns)
- Autonomous and semi-autonomous agent workflows
- Fine-tuning, prompt engineering, and optimization strategies
Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.
Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.

Technical Leadership & Collaboration

Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.
Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.
Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.
Communicate complex technical concepts clearly to both technical and executive audiences.

Required Qualifications

Bachelor s Degree in Engineering or a related technical discipline.
14+ years of hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.
3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.
6+ years of experience designing and scaling enterprise data platforms on Google Cloud Platform, AWS, and Snowflake.

Preferred Qualifications

Master s degree or Ph.D. preferred.
Demonstrated success leading large-scale, cross-functional data and AI initiatives.
Cloud platforms: Google Cloud Platform and AWS (multi-cloud experience strongly preferred)
Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures
Programming & analytics: Python, SQL, PySpark
AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost
GenAI/LLM frameworks, vector databases, and graph databases
Data engineering tools: Spark, Kafka, Hadoop
Containerization and orchestration: Docker, Kubernetes
CI/CD and DevOps practices
Strong understanding of data modeling, performance tuning, and cost optimization
Strong architectural thinking and problem-solving skills
Excellent communication and stakeholder management capabilities
Ability to influence without authority and operate effectively in matrixed organizations
Self-driven, organized, and able to manage multiple priorities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172853
Position Id: 9034395
Posted 12 hours ago

Company Info

About The Avian Consulting LLC

Leadership hiring is mission critical. The right leader can transform a company’s trajectory. We turn talent insights into advantage so you can make confident people decisions.

We combine deep discovery, market mapping, rigorous multi dimensional assessment, and confidential engagement with onboarding advisory so new leaders deliver impact faster.

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Manikandan Ramasamy

Recruiter @ The Avian Consulting LLC

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Google Cloud Platform Data Architect

Skills

Summary

Strategic & Architectural Leadership

Solution Architecture & Platform Design

AI, ML, and Generative AI Architecture

Technical Leadership & Collaboration

Required Qualifications

Preferred Qualifications

Dice Job Match Score™

Manikandan Ramasamy

Similar Jobs

Google Cloud Platform Data Architect

The Avian Consulting LLC

Job Details

Skills

Summary

Strategic & Architectural Leadership

Solution Architecture & Platform Design

AI, ML, and Generative AI Architecture

Technical Leadership & Collaboration

Required Qualifications

Preferred Qualifications

Company Info

About The Avian Consulting LLC

Dice Job Match Score™

Manikandan Ramasamy

Similar Jobs