Data Infrastructure Expert

1 day ago

Mumbai, Maharashtra, India beBeeData Full time US$ 1,20,000 - US$ 1,50,000
Lead Data Architect

We are seeking a seasoned Lead Data Architect to design, develop, and implement scalable data architectures. This role is perfect for a professional with 10+ years of experience in data engineering and architecture, with a strong focus on big data technologies.

As a key member of our team, you will play a critical role in strengthening our data infrastructure, mentoring junior engineers, and ensuring our data solutions are reliable, high-quality, and performant.

Key Responsibilities:
  • Data Architecture Leadership: Lead the design, development, and implementation of scalable data architectures using tools like Databricks, DLT, dbt, and Airflow. You'll optimize and maintain these architectures to ensure data quality and reliability.
  • Best Practices & Mentorship: Develop and enforce data engineering best practices, including coding standards, testing, and documentation. You will mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning.
  • Collaboration & Optimization: Work closely with stakeholders to understand data requirements and deliver high-quality data solutions. You will also proactively monitor and troubleshoot data architecture issues to ensure minimal disruption to business operations.
  • Continuous Improvement: Stay up to date with the latest industry trends and technologies to recommend improvements to our data engineering practices.
Required Qualifications:
  • Experience: A minimum of 10 years of experience in data engineering and/or architecture, with extensive production experience with Databricks and Apache Spark.
  • Technical Skills:
  • Expert knowledge of SQL.
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Strong understanding of data warehousing concepts.
  • Familiarity with orchestration and ELT tools like Airflow and dbt.
  • Experience with cloud platforms like Azure, AWS, and Google Cloud.
  • Knowledge of data governance and security best practices.
  • Personal Attributes: Excellent problem-solving, communication, and leadership skills. You must be able to work in a fast-paced, collaborative environment and effectively mentor and guide team members.
  • Certifications: A certification in Databricks, Azure, Google Cloud, or related technologies is a plus.

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