Principal Cloud Data Architect

12 hours ago

Mysore, Karnataka, India beBeeDataEngineeringLead Full time ₹ 19,20,000 - ₹ 24,56,000

About the Role:

We are seeking a highly experienced Senior Data Engineering Lead with a strong focus on Databricks and cloud-based data engineering to lead our data engineering team.

Job Description:

  • Mentorship and Team Management: Lead and manage a team of data engineers, providing technical guidance and fostering a culture of collaboration and innovation.
  • Data Infrastructure: Architect, design, and oversee implementation of large-scale data pipelines, data lakes, and cloud-based data warehouses using Databricks, Apache Spark, and Snowflake.
  • ETL/ELT Workflows: Develop and optimize ETL/ELT workflows ensuring performance, reliability, and scalability of data infrastructure.
  • Collaboration and Communication: Collaborate with business stakeholders, data scientists, and software teams to understand requirements and translate them into scalable, efficient data solutions.
  • Best Practices: Implement best practices for data quality, governance, security, and compliance.
  • Continuous Improvement: Drive continuous improvement of data engineering processes, standards, and tools across the organization.
  • Support and Innovation: Stay abreast of emerging data technologies and trends, recommending innovative solutions to enhance analytics capabilities.
  • Performance and Development: Manage resource planning, project prioritization, and delivery timelines ensuring alignment with business objectives.

Requirements & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
  • Minimum 18 years of professional experience in data engineering with at least 12 years in leadership or senior technical roles.
  • Deep hands-on expertise with Databricks and Apache Spark for large-scale data processing.
  • Strong programming skills in Python, Scala, or Java.
  • Extensive experience with cloud data platforms such as AWS, Azure, or GCP, including services like S3, Redshift, BigQuery, Snowflake.
  • Solid understanding of data modeling, data warehousing, ETL/ELT design, and data lakes.
  • Experience with big data technologies like Hadoop, Kafka, and Databricks ecosystem.
  • Knowledge of CI/CD pipelines, data orchestration tools (e.g., Apache Airflow), and data governance best practices.
  • Proven experience managing high-performing teams and delivering complex data engineering projects on time.
  • Familiarity with analytics solutions and the ability to translate business needs into technical requirements.
  • Strong communication skills, capable of engaging with both technical teams and senior leadership.
  • Experience supporting presales efforts and client technical discussions is a plus.
  • Bonus: Exposure to machine learning lifecycle and model deployment on Databricks.

About Us:

Please note that we do not have any company name available at this time. Please refer to other sections for information about the job.

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