Senior Data Architect

20 hours ago

Mumbai, Maharashtra, India beBeeDataEngineering Full time ₹ 15,000 - ₹ 28,00,000
Job Title: Senior Data Architect

We are seeking a seasoned Senior Data Architect to lead the design, development and implementation of scalable data pipelines and ELT processes.

  • Lead the creation of comprehensive data architecture designs, utilizing Databricks, Apache Spark and other related technologies.
  • Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions that meet business needs.
  • Maintain existing data pipelines to ensure data quality, reliability and performance.
  • Develop and enforce data engineering best practices, including coding standards, testing and documentation.
  • Mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to business operations.
  • Stay up-to-date with the latest industry trends and technologies, and proactively recommend improvements to our data engineering practices.
Required Skills and Qualifications:
  • Bachelor's degree in Systems (MIS), Data Science or related field.
  • At least 10 years of experience in data engineering and/or architecture, with a focus on big data technologies.
  • Extensive production experience with Databricks, Apache Spark and other related technologies.
  • Familiarity with orchestration and ELT tools like Airflow, dbt etc.
  • Expert SQL knowledge.
  • Proficiency in programming languages such as Python, Scala or Java.
  • Strong understanding of data warehousing concepts.
  • Experience with cloud platforms such as Azure, AWS, Google Cloud.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Strong communication and leadership skills, with ability to effectively mentor and guide.
  • Experience with machine learning and data science workflows.
  • Knowledge of data governance and security best practices.
  • Certification in Databricks, Azure, Google Cloud or related technologies.

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