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Azure Data Platform Engineer Jobs in Texas (NOW HIRING)

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Platform Engineer Location: Austin, TX or Sunnyvale, CA (Hybrid) Duration: 6 months ... infrastructure (AWS, Azure, or GCP), including object storage and compute. - Implement ...

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Azure Data Engineer

San Antonio, TX · On-site

$104K - $125K/yr

ob Summary We are seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms on Microsoft Azure. The ideal candidate will have ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Familiar with cloud-native infrastructure (AWS or Azure) * Skilled in observability and performance ...

Data Platform Engineer

Austin, TX · On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data ... Familiar with cloud-native infrastructure (AWS or Azure) * Skilled in observability and performance ...

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

... DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI * Combination of Development, Administration & Support experience in several of the following tools/platforms required:

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on the Azure platform.

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Familiar with cloud-native infrastructure (AWS or Azure) * Skilled in observability and performance ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Familiar with cloud-native infrastructure (AWS or Azure) * Skilled in observability and performance ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ... Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL ...

azure data architect

Winters, TX · On-site +1

$60.50 - $78.75/hr

... engineering. As an Azure Data Architect, you will play a critical role in designing and ... Your expertise will guide the architecture of data platforms that support our clients' strategic ...

... Data Engineering & Integration: Design and implement ETL/ELT processes to ingest, process, and ... Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL ...

Azure Data Solutions Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Solutions Architect Remote Xebia is in need of a leading technical contributor who can ... Provides input into the roadmaps, e.g. to, Data Platforms and other Data Engineering Teams, to help ...

Azure Databricks Lead Engineer

Houston, TX · On-site +1

$97K - $128K/yr

We're seeking an experienced Azure Databricks Lead Engineer to help shape and manage a modern enterprise data platform. This role is ideal for a hands-on data engineer who enjoys building scalable ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g ...

Data Engineer

Houston, TX

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g ...

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Azure Data Platform Engineer information

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.
What are popular job titles related to Azure Data Platform Engineer jobs in Texas? For Azure Data Platform Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Azure Data Platform Engineer jobs in Texas look for? The top searched job categories for Azure Data Platform Engineer jobs in Texas are:
What cities in Texas are hiring for Azure Data Platform Engineer jobs? Cities in Texas with the most Azure Data Platform Engineer job openings:
Infographic showing various Azure Data Platform Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Platform Engineer

Wise Skulls

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted yesterday

New


Job description

Title: Data Platform Engineer
Location: Austin, TX or Sunnyvale, CA (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Job Summary
We are seeking an experienced Data Platform Engineer to architect, build, and operate our cloud-based data lakehouse platform. The role is responsible for developing scalable
data infrastructure and processing pipelines built on open table formats, distributed query and compute engines, and containerized cloud infrastructure - enabling analysts, data
scientists, and downstream applications to access reliable, high-performance data at scale. The ideal candidate combines deep distributed-systems and data engineering expertise with
strong software engineering practices and a passion for building robust, efficient platforms.
Key Responsibilities
Lakehouse Architecture (Apache Iceberg)
- Architect, implement, and maintain the data lakehouse using Apache Iceberg table formats.
- Manage table lifecycle including partitioning, schema evolution, snapshot and metadata management, and compaction.
- Optimize table layout and file sizing for query performance, storage efficiency, and cost.
- Implement data governance, time-travel, and ACID transaction patterns across the lakehouse.
Distributed Query & Compute (Trino & Spark)
- Deploy, tune, and operate Trino clusters for interactive and federated analytics; manage connectors, catalogs, and resource groups.
- Build and optimize large-scale batch and streaming data processing with Apache Spark.
- Troubleshoot query plans, job performance, spills, and shuffle bottlenecks across distributed workloads.
- Balance capacity, concurrency, and cost across query and compute engines.
Data Engineering (Scala & Python)
- Develop scalable data pipelines, frameworks, and services in Scala and Python.
- Build reusable ingestion, transformation, and data-quality libraries for batch and streaming.
- Write clean, well-tested, performant code following software engineering best practices.
- Integrate pipelines with the Iceberg lakehouse and Trino/Spark processing layers.
Cloud & Kubernetes Infrastructure
- Design and operate data platform components on Kubernetes (EKS, AKS, GKE, or self-managed).
- Build and manage containerized workloads, Helm charts, and autoscaling for data services.
- Provision and manage cloud infrastructure (AWS, Azure, or GCP), including object storage and compute.
- Implement infrastructure as code, CI/CD, monitoring, and observability for the platform.
Platform Reliability & Collaboration
- Ensure the reliability, scalability, and security of the data platform across environments.
- Automate deployment, testing, and operational workflows to eliminate toil.
- Partner with data consumers to understand requirements and improve data accessibility.
- Mentor engineers and promote best practices in data and platform engineering.