AI Data Architect

Statusneo Technology Consulting

10 - 15 years

15 - 30 Lacs

bengaluru

Posted:2 hours ago| Platform:

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Skills Required

cloud platforms generative ai data architecture ai/ml platform familiarity data engineering ml data lifecycle data governance & security

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview

AI Data Architect

Key Responsibilities

Design and implement end-to-end data architectures to support AI/ML workloads.
Define data strategy, governance, and frameworks for structured, semi-structured, and unstructured data.
Architect scalable data pipelines, warehouses, and lakehouses optimized for AI/ML.
Collaborate with Data Scientists, ML Engineers, and business teams to translate requirements into data architecture solutions.
Ensure data security, compliance, lineage, and metadata management.
Optimize data platforms for performance, scalability, and cost efficiency.
Guide teams on best practices for integrating data platforms with AI/ML model training, deployment, and monitoring.
Evaluate emerging tools and technologies in the Data & AI ecosystem.

Required Skills & Experience

Proven experience as a Data Architect with a focus on AI/ML workloads.
Strong expertise in
cloud platforms
(AWS, Azure, GCP) and cloud-native data services.
Hands-on experience with
data lakehouse architectures
(Databricks, Snowflake, Delta Lake, BigQuery, Synapse).
Proficiency in
data pipeline frameworks
(Apache Spark, Kafka, Airflow, DBT).
Strong understanding of
ML data lifecycle
feature engineering, data versioning, training pipelines, MLOps.
Knowledge of
data governance frameworks
, security, and compliance standards.
Experience with
SQL, Python, and distributed data systems
.
Familiarity with
AI/ML platforms
(SageMaker, Vertex AI, Azure ML) is a plus.
Excellent problem-solving and stakeholder management skills.

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