Databricks Architect Sr

United Global Technologies

Databricks Architect Sr

Taylor, TX
Full Time
Paid
  • Responsibilities

    JOB DESCRIPTION

    Job Description

     

    Seeking an experienced Azure Databricks Architect to lead the design, implementation, and optimization of our enterprise-wide data platform. The ideal candidate will be responsible for creating a scalable, secure, and high-performance data ecosystem that enables advanced analytics, machine learning, and business intelligence capabilities. Aligns solutions following operating procedures and Architecture principles and works closely with internal technical teams. Performs proof of concepts to evaluate and prove out non-functional requirements and options. Uses toolsets that adhere to the frameworks of the technical stack complying with the organization’s standards. Provides mentorship and technical guidance to transition work to other operational teams.

     

     

    JOB DUTIES

     

    Design and architect comprehensive data solutions using Azure Databricks, Azure Data Lake, Azure Event Hub, and related Azure data services

    Develop and implement data Lakehouse architecture patterns that support both batch and real-time data processing

    Create robust data ingestion pipelines leveraging Azure Databricks, Azure Data Factory, and other ETL technologies.

    Establish best practices for data governance, security, and compliance across the data platform.

    Design and implement advanced analytics and machine learning workflows using Databricks.

    Develop performance optimization strategies for large-scale data processing.

    Create and maintain infrastructure-as-code (IaC) templates for reproducible and scalable data platform deployments.

    Provide architectural guidance and mentorship to data engineering and analytics teams.

    Ensure alignment of data platform architecture with overall enterprise architecture and business objectives

    Develops prototypes to prove out designs and delivery patterns.

    Fosters collaboration with cross-functional teams including Development, Operations, Compliance, Security, etc.

    Understands and applies principles, theories and concepts related to the profession and culture.

    Provides mentoring and guidance to other team members.

     

    ADDITIONAL JOB DUTIES

     

    Conveys team goals effectively through strong written and verbal communication skills

    Ability to execute end-to-end testing for various non-functional requirements

    Has the ability to resolve design and development issues in creative and effective ways

    Researches, evaluates, and incorporates new technology and tools to enhance the product development and platform operations

    Gives advice and recommendations to management based on experience

    Expands technical proficiency in key technical areas

     

    EXPERIENCE

     

    Requires minimum 5 years related work experience in excess of degree requirements

     

    Desired Skills

     

    Advanced proficiency with Azure Databricks and ability to provide best practices for a large organization.

    Expert-level knowledge of:

    Python

    SQL

    Spark (PySpark) and Delta Lake

    Azure Data Lake Storage

    Azure Databricks

    Strong understanding of data Lakehouse architecture principles, and cloud-native data processing and analytics solutions

    Proficiency in infrastructure-as-code tools (Terraform, Github Actions) and integration with Github Enterprise for Code and Infrastructure deployments.

    Advanced knowledge of data modeling, performance tuning, and optimization techniques

    Experience with securing Azure Databricks, especially for regulated industries.

    Design and validate best practices for creating separate workspaces, catalogs, schemas, workflows.

    Experience with design and implementation of ETL pipelines with Azure Databricks

    Experience with design of Observability and Cost Management for the platform.

    Experience with design and implementation of Batch and Real time streaming data pipelines.

    Experience with design and implementation of MLOps patterns for machine learning use cases.

    Experience with integration of Databricks with external Governance tools like Purview.

    Experience migrating data and code to use the new architecture and operationalizing the platform.

    Experience with design and implementation of DR strategy for Databricks across multiple regions.

     

    EDUCATION

     

    Bachelor's Degree: Computer Science or related field (Required)

    or a combination of education and experience that provides equivalent knowledge to a major in such fields is required