Information Technology Senior Systems Administrator (Communications, Information & Technology Department)

Miami-Dade County
Miami-Dade County, FL, United States
2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$96,562.0 - $161,053.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Microsoft Azure Cloud Computing Cloud Database Data Architecture Data Cleansing Information Engineering Data Governance Data Infrastructure Data Integration Data Integrity
+18 more
Extract Transform Load (ETL) Data Migration Data Systems DevOps Machine Learning Power BI Azure Data Lake Enterprise Data Management Azure Data Factory Generative AI Information Technology Data Analytics Operational Systems Data Management Data Lakehouse Azure Synapse Analytics Data Pipelines Legacy Systems

Job description

Miami-Dade County seeks a highly skilled and goal-oriented data modeler who thrives in a collaborative, high-energy environment, is passionate about delivering innovative data solutions, and committed to making a significant difference in public service. This role is central to advancing the County’s strategic data initiatives, particularly Enterprise Data Lakehouse. We are committed to attracting, retaining, and energizing the best talent by investing in professional development and providing challenging, rewarding opportunities for personal and career growth in Information Technology (IT).

This is a highly technical position responsible for the design, development, and maintenance of the County’s next-generation data architecture. The data modeler will be integral in building and optimizing robust data pipelines, integrating disparate operational systems, and ensuring the creation of efficient, scalable, and cloud-based data models (logical, physical, and conceptual). The individual will work closely with Data Analysts, Business Analysts, and IT professionals to establish a high-quality data foundation that supports critical operational reporting, compliance requirements, and advanced Business Intelligence functions using tools like Power BI, paving the way for future AI-driven insights.

Job components include the following:

  • Data Lakehouse Development & Engineering: Designing, developing, and maintaining high-volume, scalable data pipelines (ETL/ELT) for the ingestion and integration of data from various source systems into the cloud-based (Azure) Enterprise Data Lakehouse environment.
  • Data Modeling & Architecture: Leading the development, documentation, and implementation of dimensional, relational, tabular, and conceptual data models to support operational, analytical, and Generative AI requirements.
  • Cloud Data Management (Azure Focus): Administering, optimizing, and managing cloud data services, specifically utilizing the Microsoft Azure ecosystem (including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Data Lakehouse technologies).
  • Data Quality & Migration: Overseeing data migration efforts from legacy systems to the cloud, executing necessary data cleansing, normalization, and transformation processes to guarantee high-quality, reliable, and accessible data assets.
  • Data Governance & Security: Monitoring, implementing, and enforcing data security measures and robust data governance practices to ensure data integrity, accessibility, and compliance across all data systems.
  • Business Intelligence & AI Readiness: Collaborating directly with Business Analysts and the BI team to structure and prepare data for operational reporting, compliance, and advanced analytics, specifically supporting Power BI development and preparing data for AI/ML models.

Requirements

Do you have experience in System administration?, Do you have a Bachelor’s degree?, Bachelor’s degree. Six years of experience in information technology systems administration including creating, analyzing, and managing information technology systems are required. Additional related work experience in information technology systems administration including creating, analyzing, and managing information technology systems may substitute for the required college education on a year-for-year basis., * Data engineering principles, including ETL/ELT pipeline development, data integration, and practical implementation of cloud-based data solutions.

  • Hands-on, production-level experience with the Microsoft Azure data stack, including services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Storage.
  • Experience in designing and implementing various data models (e.g., Dimensional, Relational, and Tabular Modeling, optimized for performance and BI tool utilization.
  • Data cleansing, normalization, and transformation techniques, and experience in data migration from legacy systems.
  • Understanding data security best practices and governance policies to maintain compliance and integrity.
  • Experience utilizing Azure DevOps for CI/CD pipelines to automate data deployment and integration processes.
  • Familiarity with preparing data for advanced analytics, Machine Learning (ML), and Generative AI applications
  • Experience within an Agile/DevOps environment.

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Flexible spending account
  • Disability insurance
  • Paid holidays, Miami-Dade County offers great benefits including full medical, dental, and vision insurance; life and disability insurance; 457 pretax savings plan; flexible spending accounts; paid holidays, vacation, and sick time; membership in the Florida Retirement System; professional development; and a tuition reimbursement program.

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