Chief Data Architect

10 hours ago

Thoothukudi, Tamil Nadu, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Data Engineering and Analytics Leadership

Job Summary:

We are seeking a seasoned leader to drive the development of scalable data platforms and advanced analytics capabilities across the enterprise.

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

You will be responsible for building a robust data practice, establishing engineering standards, and empowering teams to deliver production-grade data solutions that are secure, explainable, and impactful.

Key Responsibilities:

  • Data Platform Strategy & Innovation
  • Define and execute a cloud-native data engineering and analytics strategy aligned with enterprise AI and digital transformation goals.
  • Architect scalable data platforms using technologies like Spark, Kafka, Delta Lake, and Snowflake.
  • Drive adoption of data mesh and lakehouse architectures.
  • Practice 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 components for data ingestion, transformation, and model deployment.
  • Advanced Analytics & Data Science Enablement
  • Enable rapid experimentation and deployment of predictive models 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) and ethical AI standards.
  • Serve as a key stakeholder in data governance councils and model risk committees.

Required Skills and Qualifications:

  • Proven leadership experience in data engineering and analytics roles
  • 10+ years of experience in data engineering, analytics, or data science
  • 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

Benefits:

  • Opportunity to lead a high-performing team of data professionals
  • Challenging projects driving business innovation and growth
  • Professional development opportunities through training and mentorship

About This Role:

  • Reporting to:
  • Candidate Profile:
  • What You'll Do:
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