Chief Architect

2 days ago

Shimoga, Karnataka, India beBeeDataEngineering Full time ₹ 36,00,000 - ₹ 42,00,000
Job Overview

We are seeking a skilled Data Engineering and Science leader to spearhead the development of scalable data platforms and advanced analytics capabilities across the enterprise.

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

  • Key Responsibilities:

    • Data Platform Strategy & Innovation:

      • Define and execute a forward-thinking data engineering and analytics strategy aligned with enterprise goals.
      • Architect and deploy scalable cloud-native data platforms using technologies like Apache Spark, Kafka, Delta Lake, and Snowflake.
      • Drive adoption of data mesh, lakehouse, and real-time streaming architectures for business agility.

    • Practice Building & Talent Development:

      • Build and scale high-performing teams of data engineers, data scientists, and ML engineers.
      • Design internal training programs and career pathways to upskill talent in data engineering, ML modeling, and analytics.
      • Establish a 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 data governance, lineage, and quality frameworks.
      • Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and ethical AI standards.
      • Participate 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.
    • 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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