Top Entry Level Data Management Jobs in Dallas, TX

Leads and develops a team of Data Migration Engineers responsible for moving customer data into SaaS products. Provides technical guidance on SQL, ETL, data mapping, scripts, troubleshooting, and quality control. Manages project priorities, risks, costs, escalations, cross-functional coordination, global handoffs, and weekend coverage. Partners with engineering and operations teams to resolve defects and improve migration processes, tooling, automation, and cloud-based data platforms.

Leads enterprise data governance execution and manages a team responsible for data stewardship, quality, controls, privacy, records management, and remediation. Partners with business, Technology, Risk, Compliance, Audit, and Operations stakeholders to prioritize work, manage capacity, resolve data risks, maintain lifecycle documentation, monitor quality metrics, and ensure data meets business and regulatory requirements. Drives process improvement, accountability, stakeholder communication, and people development.

Lead enterprise data platform architecture and client implementations centered on Databricks and lakehouse technologies. Design data models, governance, security, scalable pipelines, CI/CD, observability, and cost-management strategies. Develop and optimize batch and streaming workloads using Spark, PySpark, Scala, and SQL across cloud and hybrid databases. Mentor data engineering teams, review architectures and code, resolve complex platform issues, and collaborate with business, security, infrastructure, BI, and ML stakeholders to deliver reliable data products.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.