Chief Data Innovation Officer

6 hours ago

Alleppey, Kerala, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Job Title: Data Architect

About the Role:

We are seeking a seasoned and experienced data architect to lead the development of scalable, high-performance 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 data-driven innovation, operational efficiency, and AI readiness.

The ideal candidate will have hands-on experience with tools like Apache Spark, Airflow, dbt, MLflow, TensorFlow/PyTorch, and cloud data platforms (AWS/GCP/Azure).

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.

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, 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 (e.g., GDPR, HIPAA) and ethical AI standards.
  • Serve as a key stakeholder in data governance councils and model risk committees.

Qualifications:

  • 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.

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