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Databricks Engineer/Architecture

Voluble Systems LLCAustin, TX🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

This hybrid Databricks Engineer/Architect role offers significant growth potential within a reputable organization, allowing you to leverage your expertise in complex data solutions. If you're a seasoned professional with a knack for problem-solving and a desire to drive impactful projects, this is an excellent opportunity to consider. Apply today to join a dynamic team and shape the future of data architecture.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Hi,
Kindly find the JD mentioned below,

 
 
Solicitation Number: 529701754
Role: Databricks Engineer/Architect
Location: Austin, TX
Duration: 12+ Month
Customer Name: Texas Health and Human Services Commission
HYBRID
 

JOB DESCRIPTION:

8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
  • Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. 
  • Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: 
  • Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. 
  • Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. 
  • Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

 

 

 

  • The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. 
  • Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. 
  • Develop robust data models and implement data quality, validation, and governance frameworks. 
  • Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. 
  • Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

 

 
II.  CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
YearsRequired/PreferredExperience
8RequiredExperience in IT, supporting the design, development, deployment, or delivery of technology solutions.
8RequiredExperience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.
8RequiredExperience in data warehousing and dimensional data modeling (star/snowflake schemas).
8RequiredProficiency in SQL and Python (or Scala) for large-scale data processing.
8RequiredExperience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).
8RequiredExperience implementing data governance, data quality, and data security practices.
8RequiredExperience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.
8RequiredExperience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).
8RequiredExcellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.
1PreferredExperience working in public sector or state government environments.
1PreferredDatabricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
1PreferredExperience with CI/CD practices for data pipelines (DevOps, Git-based workflows).

 

 

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