Data Strategist

3 days ago

Thiruvananthapuram, Kerala, India beBeeData Full time ₹ 32,50,000 - ₹ 52,50,000
Senior Data Architect

We are seeking a seasoned Senior Data Architect to spearhead the design and implementation of our clients' data strategies.

Key Responsibilities:

  • Engage with clients to understand their business objectives, technical constraints, and data maturity.
  • Translate requirements into scalable solution blueprints across data, analytics, AI, and cloud platforms.
  • Define 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 using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
  • Implement 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.
  • Collaborate closely with client stakeholders, delivery managers, and CTOs 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 technology (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.

Why Us?

  • Work on cutting-edge AI and data projects across industries.
  • Be part of a fast-growing AI-first company.
  • Enjoy a flexible, collaborative, and innovation-driven culture.

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