Chief Data Infrastructure Officer

1 week ago

Pushkar, Rajasthan, India beBeeDataArchitect Full time US$ 1,50,000 - US$ 2,00,000
Strategic Data Architect

We seek a visionary and technically accomplished leader to spearhead the development of high-performance data platforms and advanced analytics capabilities across our organization.

  • Develop and execute a cutting-edge data engineering and analytics strategy aligned with our AI and digital transformation goals.
  • Design 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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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