Transformative Data Leader

2 days ago

Chennai, Tamil Nadu, India beBeeDataEngineer Full time US$ 2,00,000 - US$ 2,50,000
Job Opportunity

We are seeking an accomplished Data Engineer 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 modern data engineering and analytics strategy aligned with enterprise AI and digital transformation goals.
    • 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.
  • Team Building & Talent Development
    • Build and scale a high-performing team 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 '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.

To be successful in this role, you will require:

  • 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.

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