Data Architect Lead

2 days ago

Kottayam, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Practice Lead – Data Practitioner

We are seeking an experienced Practice Lead to lead the development of scalable, high-performance data platforms and advanced analytics capabilities across our enterprise.

This role combines deep technical expertise in modern data engineering with a strong foundation in data science to enable data-driven innovation, operational efficiency, and AI readiness.

Key Responsibilities:

  • Data Platform Strategy & Innovation
    • Define and execute a cutting-edge data engineering and analytics strategy aligned with our AI and digital transformation goals.
    • Design and architect scalable, cloud-native data platforms using technologies like Spark, Kafka, Delta Lake, and Snowflake.
    • Drive adoption of data mesh, lakehouse, and real-time streaming architectures.
  • Practice Building & Talent Development
    • Build and scale a high-performing team of data engineers, data scientists, and ML engineers.
    • Develop internal training programs and career pathways to upskill talent in data engineering, ML modeling, and analytics.
    • Establish a 'ready-to-deploy' talent pool to support cross-functional data and AI initiatives.
  • Engineering & Delivery Enablement
    • Lead the development of reusable data pipelines, feature stores, and model training workflows.
    • Implement CI/CD and MLOps practices for data and ML lifecycle automation.
    • Promote modular, reusable components for data ingestion, transformation, and model deployment.
  • Advanced Analytics & Data Science Enablement
    • Enable rapid experimentation and deployment of predictive models, optimization algorithms, and statistical analyses.
    • Foster collaboration between data scientists and engineers to operationalize models at scale.
    • Support use cases across customer intelligence, operations, finance, and product analytics.
  • Governance, Quality & Responsible Data Use
    • Establish enterprise-wide data governance, lineage, and quality frameworks.
    • Ensure compliance with data privacy regulations and ethical AI standards.
    • Serve as a key stakeholder in data governance councils and model risk committees.

Qualifications:

  • Required:
    • Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or a related field.
    • 10+ years of experience in data engineering, analytics, or data science roles.
    • Proven leadership in building and scaling data and ML engineering teams.
    • Hands-on expertise with tools like Apache Spark, Airflow, dbt, MLflow, TensorFlow/PyTorch, and cloud data platforms (AWS/GCP/Azure).
    • Strong understanding of data modeling, distributed systems, and ML lifecycle management.
  • Preferred:
    • Experience in building Data & AI Centers of Excellence or technical communities of practice.
    • Familiarity with GenAI, feature engineering at scale, and real-time inference systems.
    • Certifications in cloud data services and MLOps platforms.
    • Recognized thought leadership in data engineering or data science.

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