Chief AI and Data Architect

1 week ago


Ellore, Andhra Pradesh, India beBeeData Full time US$ 1,80,000 - US$ 2,40,000
Job Title

A Data Architect Position with AI Expertise is available for a global client seeking scalable and future-proof solutions.

Job Description

This role involves designing, leading, and delivering AI-driven data and solution architectures. You will engage with clients to understand their business goals, technical constraints, and AI/data maturity, and translate these requirements into scalable solution blueprints across data, analytics, AI, and cloud.

The end-to-end architecture must cover ingestion, storage, processing, analytics, ML/AI, and visualization while meeting security, compliance, and governance requirements.

Key Responsibilities
  1. Engage with clients to understand business goals, technical constraints, and AI/data maturity.
  2. Translate requirements into scalable solution blueprints across data, analytics, AI, and cloud.
  3. Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
Solution Architecture
  • Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
  • Design robust ETL/ELT pipelines, streaming architectures, and real-time analytics solutions.
  • Define data models, metadata management, and master data strategies.
  • Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).
AI & MLOps Enablement
  • Integrate ML/Gen AI solutions into the data platform architecture.
  • Work with Data Scientists to operationalize AI models using MLOps best practices.
  • Evaluate LLM integration, vector databases, and AI agents within enterprise architectures.
Leadership & Delivery
  • Provide technical leadership to engineering teams.
  • Review designs, code, and deployment plans for quality and scalability.
  • Work closely with client stakeholders, delivery managers, and CTO to ensure success.
Required Skills & Qualifications
  • 10+ years in data engineering, data architecture, or solution architecture roles.
  • Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
  • Strong knowledge of data modeling, SQL/NoSQL databases, streaming tech (Kafka, Pub/Sub, Kinesis).
  • Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
  • Knowledge of data governance, security, and compliance frameworks.
  • Familiarity with AI/ML architectures, MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
  • Strong communication and client-facing skills.
Benefits
  • Work with cutting-edge AI and data projects across industries.
  • Be part of a fast-growing AI-first consulting company.
  • Flexible, collaborative, and innovation-driven culture.


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