Senior Databricks Architect with AI Focus Expert

2 days ago


India Integration International Inc. Full time
Job Description

We are seeking a Senior Databricks Architect to lead the design, implementation, and optimization of scalable data platforms using Databricks.

This role focuses on building AI-ready data architectures to support machine learning, advanced analytics, and real-time data processing.

About Integration International Inc.

We are a global technology services firm with a subsidiary in India. Our company provides end-to-end technology solutions for clients across multiple continents.

We have openings for Sr. Databricks Architects who can work remotely.

$120,000 - $180,000 per year

Responsibilities
  • Databricks Architecture & Implementation:
    • Design and implement scalable and cost-effective Databricks Lakehouse architectures for enterprise data needs.
    • Optimize Databricks clusters for performance, storage, and query execution to support AI/ML workloads.
  • Ai/Ml Integration:
    • Collaborate with data scientists to design and implement data pipelines for model training, evaluation, and deployment.
    • Use Databricks MLflow to streamline the management and operationalization of machine learning models.
  • Data Engineering & Pipeline Development:
    • Build and maintain ETL/ELT pipelines using Databricks and Spark for structured and unstructured data.
    • Enable real-time and batch data processing workflows for AI/ML and analytics platforms.
  • Data Governance, Security, and Compliance:
    • Define and enforce governance frameworks, ensuring data quality, lineage, and compliance with regulations.
    • Implement robust security measures, including role-based access control, encryption, and tokenization.
  • Leadership & Collaboration:
    • Act as the technical lead for Databricks and AI-related initiatives, mentoring junior engineers and architects.
    • Work closely with cross-functional teams to translate business requirements into technical solutions.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related fields.
  • 8+ years of experience in data engineering or architecture, with at least 3 years of hands-on experience with Databricks.
  • Proficiency in Spark, PySpark, and Databricks platform capabilities (e.g., Delta Lake, MLflow).
  • Strong experience in building and optimizing data pipelines for AI/ML workflows.
  • Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Expertise in programming languages such as Python, Scala, or Java.


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