Databricks Architect with AI Focus
3 weeks ago
We are seeking a seasoned professional to lead the design, implementation, and optimization of scalable data platforms using Databricks.
About UsIntegration International Inc. is an end-to-end technology services firm that helps clients transform their business and IT operations to achieve optimum results. With a global presence across multiple continents and over 80 countries, we provide specialized full-service solutions for businesses looking to enhance their technological capabilities.
Job DescriptionThe Senior Databricks Architect will be responsible for leading the development and implementation of scalable data architectures to support machine learning, advanced analytics, and real-time data processing. This role requires expertise in Databricks, Spark, and AI/ML integration, as well as strong experience in building and optimizing data pipelines for AI/ML workflows.
- 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.
- Develop and manage Delta Lake solutions for streaming and batch data processing.
The ideal candidate will collaborate with data scientists to design and implement data pipelines for model training, evaluation, and deployment. They will use Databricks MLflow to streamline the management and operationalization of machine learning models and leverage Databricks AutoML and integration with libraries like TensorFlow, PyTorch, and Scikit-learn for AI solutions.
Data Engineering & Pipeline DevelopmentThe Senior Databricks Architect will build and maintain ETL/ELT pipelines using Databricks and Spark for structured and unstructured data. They will enable real-time and batch data processing workflows for AI/ML and analytics platforms and develop data pipelines that integrate seamlessly with cloud-native services (AWS, Azure, or GCP).
Data Governance, Security, and ComplianceThis role involves defining and enforcing governance frameworks, ensuring data quality, lineage, and compliance with regulations. The candidate will implement robust security measures, including role-based access control, encryption, and tokenization, and establish and monitor data usage policies within Databricks environments.
Leadership & CollaborationThe Senior Databricks Architect will act as the technical lead for Databricks and AI-related initiatives, mentoring junior engineers and architects. They will work closely with cross-functional teams to translate business requirements into technical solutions and collaborate with DevOps teams to implement CI/CD pipelines for data and AI/ML workflows.
Required QualificationsTo succeed in this role, candidates must have:
- 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.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and their respective Databricks integrations.
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