Senior Data Architect

2 days ago

Alleppey, Kerala, India beBeeDataArchitect Full time ₹ 40,00,000 - ₹ 60,00,000

Seeking a visionary Data Architect to lead the design and implementation of data-driven solutions across various sources, utilizing expertise in cloud platforms and infrastructure as code.

Key Responsibilities
  • Solution Architecture
    • Collaborate with clients to identify business objectives, technical constraints, and data maturity levels.
    • Develop scalable solution blueprints encompassing data, analytics, AI, and cloud capabilities.
    • Create end-to-end architectures covering ingestion, storage, processing, analytics, ML/AI, and visualization.
    • Ensure designs meet security, compliance, and governance requirements.
  • Data Architecture & Engineering
    • Design modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift.
    • Develop 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 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.
    • Collaborate with client stakeholders, delivery managers, and CTO to ensure success.
Required Skills & Experience
  • 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.
Good to Have
  • Experience in BFSI, Retail, or Healthcare domains.
  • Certification in cloud architecture (AWS Solutions Architect, GCP Professional Data Engineer, etc.).
  • Exposure to business consulting and pre-sales solutioning.

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