Manager, Data Engineering

vanguardjobs

Hyderabad 8 Years Exp Posted 12h ago

Job Description

  • Lead, coach, and develop a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
  • Define and execute data engineering strategy, architecture, and roadmaps aligned with business and enterprise data objectives.
  • Design, build, and maintain scalable data pipelines, integration frameworks, and cloud-native data platforms.
  • Drive the development of data warehouses, lakehouse solutions, data products, and analytical platforms that support enterprise reporting and insights.
  • Establish standards for data quality, governance, observability, security, and operational excellence.
  • Partner with data science, analytics, product, and business teams to deliver reliable and scalable data solutions.
  • Ensure data platforms are secure, resilient, performant, and compliant with enterprise technology standards.
  • Champion automation, DevOps practices, and modern engineering methodologies to improve delivery efficiency and reliability.
  • Provide technical leadership for evaluating and adopting emerging technologies and data engineering best practices.
  • Manage delivery planning, stakeholder communications, risk management, and execution of strategic data initiatives.

    Qualifications and Skills

  • Minimum 8 years of relevant work experience, with at least 5 years in a leadership role managing data engineering teams and large-scale data infrastructure.
  • Bachelor's degree (B.E./B.Tech) in Computer Science, IT, or a related field or Diploma in Data Science/Data Engineering.
  • Proven experience designing and delivering enterprise-scale data platforms and data products.
  • Strong expertise in ETL/ELT development, data warehousing, data modeling, and distributed data processing.
  • Hands-on experience with Python, PySpark, SQL, Apache Spark, Kafka, and modern data engineering frameworks.
  • Experience building cloud-native data solutions utilizing AWS and Databricks technologies.
  • Strong understanding of data governance, data quality, security, and operational monitoring.
  • Experience working within Agile delivery models and leading cross-functional technology teams.
    • Excellent communication, stakeholder management, and problem-solving skills.

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