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Lead Data Architect

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Job Title: Lead Data Architect

Job Description:

We are seeking an experienced professional to spearhead the design and implementation of scalable, high-performance data pipelines.

This role involves collaborating with cross-functional teams to develop and maintain large-scale data architectures using AWS and Databricks. Key responsibilities include designing, building, and optimizing ETL/ELT processes for structured and unstructured datasets.

The successful candidate will leverage Databricks for advanced analytics, machine learning workloads, and ensure the delivery of reliable and scalable data solutions. Additionally, they will implement data governance frameworks, quality checks, and monitoring tools.

Required Skills and Qualifications:

  • At least 7 years of experience in data engineering.
  • Strong hands-on experience with AWS cloud services.
  • Expertise in Databricks (PySpark, Delta Lake, ML pipelines).
  • Proficiency in Python and SQL for data transformation and querying.
  • Strong understanding of data warehousing, data modeling, and big data frameworks.

Benefits:

Work on challenging projects that drive business growth and innovation.

Collaborate with a talented team of professionals.

Opportunities for professional development and career advancement.