Visionary Data Architect

23 hours ago

Kannur, Kerala, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Our ideal candidate has a proven track record of designing, leading and delivering scalable data and AI solutions for clients across various industries. They have strong technical skills in data architecture, engineering and MLOps, with expertise in cloud platforms, IaC tools and modern data stack technologies.

Key Responsibilities

  • Translate client requirements into scalable solution blueprints, encompassing data, analytics, AI and cloud components.
  • Develop end-to-end architectures covering ingestion, storage, processing, analytics, ML/AI and visualization.
  • Ensure designs meet security, compliance and governance requirements.

Data Architecture & Engineering

  • Architect modern data platforms using tools like Databricks, Snowflake, BigQuery and Redshift.
  • 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 such as CDMC and DAMA DMBOK.

AI & MLOps Enablement

  • Integrate ML/Gen AI solutions into the data platform architecture.
  • Collaborate 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 project success.

Required Skills & Qualifications

  • 10+ years of experience in data engineering, data architecture or solution architecture roles.
  • Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC tools (Terraform, CloudFormation).
  • Strong knowledge of data modeling, SQL/NoSQL databases and streaming technologies (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

  • Opportunity to work on cutting-edge AI and data projects.
  • Chance to be part of a fast-growing AI-first consulting company.
  • Flexible, collaborative and innovation-driven culture.

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