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Saaki Argus and Averil Consulting
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Data Architect, Generative AI & Data Platform

Data Architect, Generative AI & Data Platform

Saaki Argus and Averil Consulting

12 - 18 years

0 Lacs

chennai tamil nadu india

Posted:1 week ago| Platform:

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Skills Required

data ai learning ml architecture storage indexing retrieval design aws azure gcp spark databricks kafka processing vault layers model training engineering governance auditing deployment flow versioning inference api microservices leadership vision logical adf etl monitoring integration communication management collaboration

Work Mode

On-site

Job Type

Full Time

Job Description

Role Summary:

Principal Architect, Generative AI & Data Platforms

Experience: 12 - 18 years

Location: Chennai

💡 Core Responsibilities

Gen AI/ML & Data Platform Strategy:
Define and lead the technical roadmap for data architecture, specifically optimizing data storage, indexing (e.g., Vector Stores), and retrieval patterns for Gen AI and RAG (Retrieval Augmented Generation) pipelines.
Cloud & Big Data Architecture:
Design and manage highly available, performant, and cost-optimized data solutions across major cloud platforms (AWS, Azure, GCP). Utilize Big Data technologies (Spark, Databricks, Snowflake, Kafka) for processing petabyte-scale data volumes.
Data Modeling for Intelligence
: Create advanced data models (e.g., Dimensional, Data Vault) and semantic layers specifically tailored to accelerate ML model training, feature engineering, and real-time analytical queries.
Data Governance & Trust:
Implement strict Data Governance, lineage, and privacy frameworks, ensuring the ethical and secure use of data in all AI/ML initiatives. Establish robust Data Quality and auditing mechanisms.
MLOps & Deployment Alignment:
Directly collaborate with MLOps and Data Science teams to streamline the flow of data from ingestion to model training, versioning, and high-volume inference deployment.
API & Data Integration:
Architect secure, high-speed data ingestion and egress mechanisms, including Real-Time Data Streams and Microservices-based APIs, to integrate diverse internal and external data sources.
Leadership & Technical Evangelism:
Act as the subject matter expert on data architecture across the organization. Effectively communicate complex technical vision and trade-offs to c-suite and non-technical stakeholders

Required Skills & Qualifications

Technical Expertise:
Proven experience designing and implementing scalable Gen AI/ML data architectures, Vector Databases, and RAG patterns. Expert-level proficiency in data modeling (conceptual, logical, physical) and Big Data processing tools (Spark, Databricks, DWH).
Cloud Mastery:
Deep hands-on experience architecting data solutions on at least one major cloud platform (AWS, Azure, or GCP), including native data services (e.g., AWS S3/Glue, Azure Data Lake/ADF, GCP BigQuery/Dataproc).
Data Lifecycle:
Strong understanding of the complete Data Engineering lifecycle (ELT/ETL, CI/CD, and monitoring), real-time streaming, and API integration techniques.
Soft Skills:
Exceptional communication, stakeholder management, and cross-functional collaboration skills. Ability to mentor and lead technical teams.
Education
: Bachelor's degree in Computer Science, Engineering, or a related quantitative field. An advanced degree is strongly preferred.

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Saaki Argus and Averil Consulting

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Data Architect, Generative AI & Data Platform