Data Architect (Databricks, Python & Spark)

Job Title:

Experience:

Location:

Department:

About the Role:

We are seeking a highly skilled Data Architect

Key Responsibilities:

• Design, develop, and maintain scalable 

  data pipelines

   using 

  Databricks

   and 

  Apache Spark

  .
• Write efficient, reusable 

  Python code

   for data processing and transformation.
• Collaborate with 

  data scientists, analysts, and stakeholders

   to understand requirements and deliver reliable data solutions.
• Optimize 

  Spark jobs

   for performance, scalability, and cost efficiency in cloud environments.
• Implement 

  data quality checks, monitoring

  , and alerting mechanisms.
• Work with 

  structured and unstructured data

   from APIs, databases, and cloud sources.
• Ensure 

  data security, governance, and compliance

   with organizational standards.
• Maintain detailed 

  documentation

   of data workflows, architecture, and best practices.

Required Qualifications:

• Bachelor’s or master’s degree in computer science

  , Engineering, or a related field

  .

• 10+ years

   of experience in 

  data engineering

  , with strong expertise in 

  Python

   and 

  Apache Spark

  .

• 3+ years

   of hands-on experience with 

  Databricks

   in production environments.
• Proven experience in 

  building and optimizing ETL/ELT pipelines

  .
• Experience with 

  cloud platforms

   (AWS, Azure, or GCP) and cloud-native data tools.
• Strong understanding of 

  distributed computing

   and 

  big data frameworks

  .
• Excellent analytical and communication skills.