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Data Platform Engineering Manager Jobs in Texas (NOW HIRING)

Prophecy Technologies

AWS Data Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

... data engineering frameworks that support enterprise-scale analytics and AI initiatives. • ... and manage cloud-native data infrastructure using Infrastructure as Code (Terraform). • Build ...

Husch-Blackwell-LL

Data Engineering Manager

Austin, TX · On-site

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data ... Working with multiple stakeholders, they ensure the platform supports current and future needs, set ...

The Bronx

Sr. Data Platform Engineer

Addison, TX · On-site

$145K/yr

Manage the Snowflake environment, including warehouses, roles, resource monitors, platform ... Minimum of 5 years of experience in data engineering, analytics engineering, or a closely related ...

ENGIE Group

Head of Data Platform

Houston, TX · On-site

$176K - $271K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, Management Information Systems, or a related field * Minimum of 15 years of experience in data platform engineering ...

Honor

Staff Data Platform Engineer

Austin, TX · Remote

We are modernizing our data platform, investing in cloud-native AWS services, and building the ... Lead, or Engineering Manager. What's Next? Sound like a fit? Apply below! #LI-AN1 Our range ...

Eitacies Inc

Senior Data Platform Engineer

Austin, TX · On-site

$105K - $143K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data ... * 9+ years of data engineering experience * Strong Python programming skills * Production ...

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All JobsData Platform Engineering JobsData Platform Engineering Manager JobsData Platform Engineering Manager Jobs in Texas

Data Platform Engineering Manager information

What does a data platform engineering manager do?

A Data Platform Engineering Manager leads teams responsible for designing, building, and maintaining the core infrastructure and tools that support data storage, processing, and analysis. They oversee the development of scalable and reliable data platforms, ensuring data is accessible, secure, and performant for various business needs. This role also involves collaborating with data engineers, analysts, and other stakeholders to align platform capabilities with organizational goals, as well as mentoring team members and managing project delivery.

What are the key skills and qualifications needed to thrive as a data platform engineering manager?

To thrive as a Data Platform Engineering Manager, you need deep expertise in data architecture, engineering best practices, and leadership, typically supported by a degree in computer science or a related field. Experience with big data technologies (such as Hadoop, Spark, or cloud data platforms), database systems, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are vital for building robust data infrastructure, leading effective teams, and ensuring data solutions align with business objectives.

What are some common challenges faced by data platform engineering managers when scaling data infrastructure, and how can they be addressed?

Data Platform Engineering Managers often encounter challenges such as ensuring data reliability, maintaining performance as data volume grows, and managing cross-functional stakeholder expectations. Addressing these challenges involves implementing robust monitoring and alerting, adopting scalable architectures like distributed data systems, and fostering clear communication between engineering, analytics, and business teams. Staying informed about industry best practices and encouraging continuous learning within the team can also help overcome scaling obstacles while supporting innovation.

What is the difference between Data Platform Engineering Manager vs Data Engineer?

AspectData Platform Engineering ManagerData Engineer
ResponsibilitiesOversees data platform architecture, manages teams, ensures platform scalability and reliabilityBuilds, tests, and maintains data pipelines and infrastructure
Required SkillsLeadership, data architecture, cloud platforms, team managementSQL, ETL, programming, data modeling
CertificationsCloud certifications, data management certificationsNone typically required, but data-related certifications are common
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on data pipeline development, coding, troubleshooting

The Data Platform Engineering Manager focuses on leading data platform teams and strategic architecture, while Data Engineers are primarily responsible for building and maintaining data pipelines. Both roles require technical skills, but the manager role emphasizes leadership and oversight.

What cities in Texas are hiring for Data Platform Engineering Manager jobs?

Cities in Texas with the most Data Platform Engineering Manager job openings:

Infographic showing various Data Platform Engineering Manager job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

AWS Data Platform Engineer

Dallas, TX • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Prophecy Technologiesexternal

$113K - $136K/yr

Full-time

Re-posted 26 days ago

Job description

Hi
We are seeking an experienced AWS Data Platform Engineer to design, build, and operate enterprise-grade data pipelines across both on-premises and AWS cloud environments. This role will be instrumental in building the foundation of our enterprise data platform, enabling secure, scalable, and governed data ingestion, processing, and analytics. The ideal candidate has hands-on experience developing distributed data pipelines, deploying cloud-native infrastructure, and integrating data from diverse enterprise systems while adhering to security, governance, and operational best practices.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines across hybrid (on-premises and AWS) environments.
• Build and optimize streaming and batch data ingestion pipelines for structured and unstructured data.
• Develop reusable data engineering frameworks that support enterprise-scale analytics and AI initiatives.
• Integrate data from multiple enterprise sources, including:
• IoT and sensor data
• Finance and ERP systems
• Procurement applications
• Security and audit logs
• Operational databases
• APIs and event streams
• Deploy and manage cloud-native data infrastructure using Infrastructure as Code (Terraform).
• Build secure, governed data platforms following enterprise security and data governance standards.
• Implement CI/CD pipelines and automate deployments for data platform components.
• Collaborate with architecture, security, DevOps, and business teams to deliver reliable, scalable data solutions.
Required Technical Skills
• Python
• SQL
• Terraform (Infrastructure as Code)
• Apache Kafka
• Apache Flink
• Apache Beam
• Apache Spark
• Apache Airflow
• Kubernetes (Amazon EKS)
• Trino and/or Amazon Athena
• Amazon S3
• AWS Lambda
• AWS IAM
• AWS Lake Formation
• GitHub
• Harness
• JFrog
• Argo CD
Preferred Skills
• Experience building enterprise data platforms in hybrid cloud environments.
• Experience with event-driven and streaming architectures.
• Knowledge of distributed systems and large-scale data processing.
• Strong understanding of AWS networking, security, IAM, VPCs, and data governance.
• Experience with monitoring, observability, and production support for data platforms.
• Familiarity with enterprise architecture patterns and metadata-driven data platforms.

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