Data Management Manager

Dallas, TX, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Mentorship
  • Data Governance
  • Regulatory Compliance
  • Operational Excellence
  • Incident Management
  • Performance Tuning
  • IT Architecture
  • Data Lake
  • Storage
  • Data Engineering
  • Management
  • Microsoft SQL Server
  • Oracle
  • Teradata
  • Migration
  • Extract
  • Transform
  • Load
  • ELT
  • Data Modeling
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Databricks
  • Snow Flake Schema
  • Microsoft Azure
  • Apache Hadoop
  • Master Data Management
  • Mobile Device Management
  • Data Management
  • Real-time
  • Apache Kafka
  • Apache Spark
  • Streaming
  • DevOps
  • Collaboration
  • Leadership
  • Cloud Computing

Summary

Job Description

Role: Data Management Manager
Location: Dallas, TX
Duration: 6+ Month Contract


About the Role
We are seeking an experienced Data Management Manager to lead a large-scale data organization responsible for enterprise data platforms, governance, and modernization initiatives. This role will oversee both legacy and modern cloud-based data environments while driving the transformation to Data Lake and Lakehouse architectures. If you are passionate about leading high-performing teams and delivering enterprise data strategy, we want to hear from you.
What You'll Do
Lead, mentor, and develop a team of 40-50 data professionals, including engineers, analysts, and operations staff.
Drive data governance, quality, lineage, cataloging, and compliance initiatives.
Establish operational excellence through SLAs, monitoring, incident management, and performance optimization.
Partner with technology, architecture, and business stakeholders to align data strategy with organizational goals.
Lead enterprise data modernization programs, including migration from legacy platforms to cloud-based Data Lake and Lakehouse solutions.
Implement best practices for data ingestion, transformation, storage, and scalable cloud-native services.

Required Qualifications
8+ years of experience in data management, data engineering, or data operations.
5+ years of leadership experience managing large teams (20+ professionals).
Strong experience with enterprise data platforms such as SQL Server, Oracle, or Teradata.
Hands-on experience with modern data architectures, including Data Lakes, Lakehouse's, and cloud platforms.
Proven success leading data modernization, migration, or transformation initiatives.
Strong understanding of ETL/ELT processes, data modeling, and distributed data systems.
Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.

Preferred Qualifications
Experience with Databricks, Snowflake, Azure Synapse, or Hadoop ecosystem technologies.
Knowledge of Master Data Management (MDM) and enterprise data management tools.
Experience with streaming and real-time data technologies such as Kafka or Spark Streaming.
Familiarity with DevOps and DataOps practices.
Cloud or data platform certifications.

Why Join?
Lead a high-impact enterprise data transformation initiative.
Influence data strategy and modernization efforts at scale.
Work with cutting-edge cloud and data technologies.
Collaborate with senior leadership and cross-functional teams.

Apply Today!
If you have a passion for data leadership, cloud transformation, and building high-performing teams, submit your resume today and take the next step in your career.

Meet Your Recruiter

Amit Singh

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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.
  • Dice Id: bravo
  • Position Id: 9d4b91262849b592ee17c455548619cb
  • Posted 9 hours ago
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