Job Description

Location: Offshore

Job Summary:

We are seeking a highly skilled Technical Architect with a strong focus on Databricks to design and implement scalable data platforms and pipelines. The ideal candidate will lead the migration from legacy systems to a modern Lakehouse architecture, ensuring data governance, quality, and security while collaborating with various stakeholders to align technical solutions with business objectives.

Years of Experience : 5-8 yrs

Core Responsibilities:

  • Design and implement scalable data platforms and pipelines using Azure Databricks, Apache Spark, Delta Lake, and MLflow.
  • Lead the migration from legacy platforms to Lakehouse architecture.
  • Develop batch and streaming data pipelines for ingestion, transformation, and analytics.
  • Establish standards for data governance, quality, and security.
  • Collaborate with stakeholders to align architecture with business goals.
  • Mentor data engineers and developers on Databricks best practices.
  • Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, and Azure Data Factory.

    • Mandatory Skills:

  • Strong command of Databricks and Azure.
  • Proficiency in SQL, Python, Scala, and Spark.
  • Experience with CI/CD pipelines, DevOps, and orchestration tools like Airflow or Data Factory.
  • Familiarity with Azure cloud platforms.
  • Deep understanding of distributed computing, performance tuning, and data security.

    • Preferred Skills:

  • Experience with data mesh, data fabric, or enterprise data architectures.
  • Strong ERP knowledge (e.g., SAP, Salesforce).
  • Hands-on capability and self-exploration skills to drive analytics adoption across business teams.

    • Qualifications:

  • Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
  • Certifications such as Azure Solution Architect, Azure Data Engineer, or Databricks Certified Data Engineer or Solutions Architect.
  • Domain knowledge in finance, healthcare, or public sector is a plus.

    • Join our team and play a pivotal role in transforming our data architecture while mentoring the next generation of data engineers. Your expertise in Databricks will be crucial in driving our data initiatives forward.

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