Visionary Senior Data Architect

23 hours ago

Erode, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Senior Data Architect Role

We are seeking a visionary Senior Data Architect to lead our data engineering efforts.

This role requires a deep understanding of data modeling, data warehousing, and ETL/ELT best practices. You will serve as a technical leader and mentor, driving best practices in data architecture and governance.

The ideal candidate will have experience with Databricks, Azure Data Services, and Informatica Cloud tools. Strong leadership and communication skills are essential for influencing cross-functional teams and building a data-driven culture.

  • Architect and design complex data pipelines using Databricks and Azure Data Services.
  • Lead the development of scalable data solutions using Python, PySpark, and distributed computing frameworks.
  • Define and enforce data quality standards, ensuring data is timely, accurate, and complete.
  • Design and maintain enterprise-grade data models using star and snowflake schemas.
  • Write and review advanced SQL, including CTEs, aggregations, and complex joins.
  • Collaborate with cross-functional teams to translate business needs into robust data solutions.
  • Champion documentation, metadata management, and data governance practices.

Key Responsibilities:

  • Data Architecture: Design and implement scalable data architectures using cloud-based services.
  • Data Engineering: Develop and maintain large-scale data processing systems using Python and PySpark.
  • Data Quality: Define and enforce data quality standards to ensure accuracy and completeness.
  • Technical Leadership: Lead and mentor a team of data engineers to drive best practices in data engineering and architecture.

Leadership Skills:

  • Strategic Thinker: A strategic thinker with a passion for data innovation and emerging technologies.
  • Strong Communicator: Strong leadership and communication skills with the ability to influence across teams.
  • Mentorship: Committed to mentorship, team development, and technical excellence.

Qualifications:

  • Bachelor's Degree: Bachelor's degree in Computer Science, Data Analytics, or related field.
  • 5+ Years Experience: 5+ years of experience in data engineering, with a strong focus on Azure and Databricks.
  • Expert-Level Proficiency: Expert-level proficiency in Python, PySpark, and distributed data processing.

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