Overview
On Site
USD 84.00 - 89.00 per hour
Full Time
Skills
Computer Science
Data Science
Information Technology
Performance Tuning
Service Management
Big Data
Analytical Skill
Data Governance
Cloud Computing
Scalability
Storage
Data Lake
SQL Azure
Data Storage
Active Directory
Regulatory Compliance
Resource Management
Backup
Disaster Recovery
Migration
Servers
Web Applications
Apache Tomcat
RStudio
Data Analysis
Modeling
Decision-making
Data Processing
Workflow
Data Engineering
Data Extraction
Extract
Transform
Load
Management
Dashboard
Reporting
Data Visualization
IT Management
Mentorship
Database
Business Process
DevOps
Continuous Integration
Continuous Integration and Development
Scripting
Windows PowerShell
Python
Command-line Interface
Microsoft Azure
Microsoft SQL Server
Microsoft Power BI
Machine Learning (ML)
Artificial Intelligence
Data Management
Databricks
TCM
DICE
Job Details
JOB TITLE: TECH LEAD-DATA MANAGEMENT
JOB LOCATION: WASHINGTON, DC
WAGE RANGE*: 84.00-89.00 PER HOUR
JOB NUMBER: SAIJP00038117
REQUIRED EXPERIENCE:
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
7+ years of experience in data management, with at least 3+ years in a technical leadership or SME role.
Expertise in Azure Administration and management, including Azure SQL Database, Azure Data Lake, and Azure Storage.
Deep understanding of SQL Server/Database Administration, including performance tuning, backup strategies, and migrations.
Hands-on experience with Apache Tomcat for web application and service management.
Proficiency with R Studio for data analysis, modeling, and statistical computations.
Experience working with Azure Databricks for data engineering and big data processing.
Advanced knowledge of Power BI for report creation, data visualization, and dashboard management.
Proven ability to lead technical teams, mentor staff, and communicate effectively with stakeholders.
Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues.
Understanding of data governance, security protocols, and regulatory compliance standards related to data management.
JOB DESCRIPTION
You will provide technical leadership to data engineering teams, optimize data pipelines, and ensure that systems meet performance, reliability, and security standards. This work is located onsite in the DC area.
Key Responsibilities:
Lead the configuration, deployment, and administration of Azure cloud resources and services, ensuring optimal performance, scalability, and security.
Manage Azure Storage, Azure Data Lake, and Azure SQL Database for data storage and analysis needs.
Oversee Azure Active Directory and other Azure services to manage user access, security, and compliance.
Implement automation and scripting solutions for Azure resource management using tools like Azure CLI, PowerShell, and Azure Automation.
Optimize database performance, backup strategies, and disaster recovery planning.
Perform database migrations, version upgrades, and ensure consistent database health across environments.
Administer and troubleshoot Apache Tomcat servers used for web application deployments and integration with data management systems.
Monitor and optimize Tomcat server performance, ensuring reliable and efficient deployment of applications and services.
Use R Studio to design, implement, and maintain data analysis and modeling solutions that support decision-making across business units.
Optimize R scripts and packages for large-scale data processing and analysis.
Lead the design and implementation of data pipelines using Azure Databricks, ensuring efficient and scalable data processing workflows.
Optimize data engineering tasks within Databricks, including data extraction, transformation, and loading (ETL) processes.
Develop and manage interactive reports and dashboards using Power BI, transforming raw data into actionable insights.
Guide teams in creating automated reporting solutions and data visualization best practices.
Provide technical leadership and mentoring to junior data engineers, database administrators, and data analysts.
Provide technical recommendations and solutions to support data-driven business processes, helping teams leverage data effectively.
Desirable Skills:
Experience with Azure DevOps for continuous integration and deployment of data management solutions.
Familiarity with scripting and automation using PowerShell, Python, or Azure CLI.
Certifications in Microsoft Azure, SQL Server, Databricks, or Power BI are a plus.
Experience with Machine Learning or AI applications in data management (e.g., using R or Databricks).
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
JOB LOCATION: WASHINGTON, DC
WAGE RANGE*: 84.00-89.00 PER HOUR
JOB NUMBER: SAIJP00038117
REQUIRED EXPERIENCE:
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
7+ years of experience in data management, with at least 3+ years in a technical leadership or SME role.
Expertise in Azure Administration and management, including Azure SQL Database, Azure Data Lake, and Azure Storage.
Deep understanding of SQL Server/Database Administration, including performance tuning, backup strategies, and migrations.
Hands-on experience with Apache Tomcat for web application and service management.
Proficiency with R Studio for data analysis, modeling, and statistical computations.
Experience working with Azure Databricks for data engineering and big data processing.
Advanced knowledge of Power BI for report creation, data visualization, and dashboard management.
Proven ability to lead technical teams, mentor staff, and communicate effectively with stakeholders.
Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues.
Understanding of data governance, security protocols, and regulatory compliance standards related to data management.
JOB DESCRIPTION
You will provide technical leadership to data engineering teams, optimize data pipelines, and ensure that systems meet performance, reliability, and security standards. This work is located onsite in the DC area.
Key Responsibilities:
Lead the configuration, deployment, and administration of Azure cloud resources and services, ensuring optimal performance, scalability, and security.
Manage Azure Storage, Azure Data Lake, and Azure SQL Database for data storage and analysis needs.
Oversee Azure Active Directory and other Azure services to manage user access, security, and compliance.
Implement automation and scripting solutions for Azure resource management using tools like Azure CLI, PowerShell, and Azure Automation.
Optimize database performance, backup strategies, and disaster recovery planning.
Perform database migrations, version upgrades, and ensure consistent database health across environments.
Administer and troubleshoot Apache Tomcat servers used for web application deployments and integration with data management systems.
Monitor and optimize Tomcat server performance, ensuring reliable and efficient deployment of applications and services.
Use R Studio to design, implement, and maintain data analysis and modeling solutions that support decision-making across business units.
Optimize R scripts and packages for large-scale data processing and analysis.
Lead the design and implementation of data pipelines using Azure Databricks, ensuring efficient and scalable data processing workflows.
Optimize data engineering tasks within Databricks, including data extraction, transformation, and loading (ETL) processes.
Develop and manage interactive reports and dashboards using Power BI, transforming raw data into actionable insights.
Guide teams in creating automated reporting solutions and data visualization best practices.
Provide technical leadership and mentoring to junior data engineers, database administrators, and data analysts.
Provide technical recommendations and solutions to support data-driven business processes, helping teams leverage data effectively.
Desirable Skills:
Experience with Azure DevOps for continuous integration and deployment of data management solutions.
Familiarity with scripting and automation using PowerShell, Python, or Azure CLI.
Certifications in Microsoft Azure, SQL Server, Databricks, or Power BI are a plus.
Experience with Machine Learning or AI applications in data management (e.g., using R or Databricks).
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.