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Database Architect Jobs in Austin, TX (NOW HIRING)

Asterism IT Solutions

Database Architect

Austin, TX ยท On-site

$140 - $190/hr

The Database Architect will be responsible for establishing and configuring the semantic layer and data lineage required to support AI tools, analytics, machine learning, and generative AI use cases.

eStaffLLC

Database Architect

Austin, TX ยท On-site +1

$63.25 - $81.25/hr

We are seeking a Database Architect who is willing to work 100% remotely with our client in Austin, TX. The Database Architect will implement an enterprise-wide Data Catalog/MDM solution covering ...

Software People, Inc.

Database Architect

Austin, TX ยท On-site

$63.25 - $81.25/hr

Ensures that all user interfaces for database administration and inputting, viewing, outputting data(via reports) are compliant with accessibility standards. ๏ปฟThe Senior Data Architect & Analytics ...

Hirekeyz Inc

Database Architect

Austin, TX ยท On-site

$63.25 - $81.25/hr

Database Architect Location: Austin, TX (Onsite with Hybrid) [Need candidate from LOCAL TO THE AUSTIN, TX AREA ONLY (Within 50-mile radius)] Duration: Long Term Contract Job Summary: Designs and ...

Beth Page tech

Database Architect

Austin, TX ยท On-site

$63.25 - $81.25/hr

Database Architect Location : Austin,TX ( Onsite) Duration : 12 Months : Must have 10 years of experience on below : * Experience in data architecture, data modeling, and data warehousing.

PSG Global Solutions

Database Architect

Austin, TX

$63.25 - $81.25/hr

The Worker will work closely with database administrator(s) to establish and maintain highly resilient, scalable and high performance architecture when the data model is implemented physically on the ...

Snowrelic Inc

Database Architect (W2)

Austin, TX ยท On-site

$63.25 - $81.25/hr

Database Architect Location: Austin, TX (Hybrid) The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the CDA team.

Wise Skulls

CockroachDB Database Engineer

Austin, TX ยท On-site

Knowledge of high availability, replication, and distributed database architecture * Experience with cloud platforms (AWS/Azure/GCP) is a plus * Scripting experience using Python, Shell, or similar

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How much do database architect jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for database architect in Austin, TX is $69.35, according to ZipRecruiter salary data. Most workers in this role earn between $60.72 and $78.12 per hour, depending on experience, location, and employer.

What is a database architect?

Database Architects are IT professionals who design, implement, and maintain complex database systems to store and organize data efficiently. They create blueprints for data management systems, ensure data integrity, set security standards, and optimize database performance. Their work is crucial for organizations that rely on large volumes of data, as they help ensure information is accessible, reliable, and secure. Database Architects often collaborate with developers, analysts, and system administrators to meet business needs and support organizational goals.

What are the key skills and qualifications needed to thrive as a database architect?

To thrive as a Database Architect, you require expertise in database design, data modeling, and strong knowledge of SQL, typically supported by a degree in computer science or a related field. Familiarity with database management systems like Oracle, Microsoft SQL Server, MySQL, and certifications such as Oracle Certified Professional or Microsoft Certified: Azure Database Administrator are commonly expected. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly set standout professionals apart. These skills ensure robust, scalable, and secure data solutions that meet organizational needs and support business growth.

How does a database architect typically collaborate with development and operations teams during a project?

A Database Architect works closely with both development and operations teams throughout a project's lifecycle. They collaborate with developers to ensure database designs align with application requirements and performance goals, often participating in code reviews and providing guidance on data modeling best practices. With operations teams, Database Architects coordinate on deployment, monitoring, and optimization of database systems to maintain reliability and scalability. This cross-functional collaboration is essential for delivering robust, maintainable, and high-performing database solutions.

What is the difference between Database Architect vs Database Administrator?

AspectDatabase ArchitectDatabase Administrator
Primary RoleDesigns and plans database structures and architectureMaintains, monitors, and manages existing databases
Skills & CertificationsDatabase design, SQL, data modeling, certifications like Oracle or MicrosoftDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft SQL Server
Work EnvironmentDesign phase, collaboration with developers and stakeholdersOperational phase, troubleshooting, performance tuning
FocusFuture-proof database architecture and scalabilityEnsuring database stability, security, and performance

The main difference between a Database Architect and a Database Administrator lies in their focus. The Database Architect designs the database structure and plans for future growth, while the Database Administrator manages and maintains the databases to ensure smooth operation. Both roles require strong SQL skills and certifications, but their daily tasks and responsibilities differ significantly.

Are database architects in demand?

Database architects are in high demand due to the increasing reliance on data management and digital infrastructure across industries. They design and optimize database systems, often requiring skills in SQL, data modeling, and cloud platforms, making their expertise valuable in many organizations. The role is expected to grow as data-driven decision-making becomes more critical.

How much money do database architects make?

Database architects typically earn a median annual salary of around $100,000 to $130,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher salaries, often exceeding $150,000 annually.

What does a database architect do?

A database architect designs and manages the structure of databases to ensure efficient data storage, retrieval, and security. They analyze business needs, create data models, and select appropriate database technologies, often using tools like SQL and data modeling software. Strong problem-solving skills and knowledge of database management systems are essential for this role.
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Database Architect jobs near you
Infographic showing various Database Architect job openings in Austin, TX as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $144,242 per year, or $69.3 per hour.

Database Architect

Asterism IT Solutions

Austin, TX โ€ข On-site

$140 - $190/hr

Other

Posted 4 days ago

Job description

We are seeking an experienced Database Architect to implement an enterprise-wide Data Catalog / Master Data Management (MDM) solution covering both structured and unstructured data.

The Database Architect will be responsible for establishing and configuring the semantic layer and data lineage required to support AI tools, analytics, machine learning, and generative AI use cases.

The ideal candidate will bridge data engineering, data governance, database architecture, and AI consumption requirements to ensure high-quality, well-documented, secure, and accessible data assets.

The candidate will also establish continuous processes to keep the Data Catalog/MDM solution updated as data and systems change while maintaining data quality, consistency, governance, and lineage.

Required Qualifications
  • 7+ years of experience working as an Enterprise Database Architect with experience implementing MDM/Data Catalog solutions.
  • 4+ years of experience as a Data Modeler/DBA working with Oracle and SQL Server RDBMS.
  • 4+ years of expertise with enterprise Data Catalog platforms, such as:
    • Microsoft Purview
    • Collibra
    • Alation
    • Similar enterprise data catalog solutions
  • 3+ years of experience with AI/ML technologies and semantic/context layer design and integration.
  • 3+ years of experience with cloud technologies and tools in AWS and Azure.
  • Experience with cloud data platforms such as AWS Data Lake.
  • 3+ years of experience with Data Governance, data classification, and data security.
  • 2+ years of experience with Data Lineage, integration, and transformation tools, such as:
    • Informatica
    • Fivetran
    • Similar tools
  • 2+ years of experience designing and implementing APIs for:
    • Metadata harvesting
    • Automation
    • Event-driven integration
  • 2+ years of experience with vector databases and/or feature stores is preferred.
  • 2+ years of experience with Python scripting is preferred.
  • 2+ years of experience working with Texas State Government agencies is preferred.
  • 1+ year of experience using GitHub.
Key Responsibilities
  • Design and implement an enterprise-wide Data Catalog and MDM solution for structured and unstructured data.
  • Define and configure enterprise data catalog architecture and metadata management processes.
  • Design and implement semantic/context layers to support analytics, AI/ML, and generative AI use cases.
  • Establish and maintain data lineage across enterprise data sources and platforms.
  • Develop processes for metadata harvesting and automated catalog updates.
  • Ensure data assets are properly documented, classified, governed, and secured.
  • Define data governance standards and processes to maintain data quality, consistency, and accuracy.
  • Integrate data catalog and MDM platforms with enterprise data sources and cloud platforms.
  • Design APIs and event-driven integrations for metadata harvesting, automation, and system synchronization.
  • Work with data engineering, governance, security, analytics, and AI/ML teams to understand data consumption requirements.
  • Support AI tools in discovering and consuming trusted enterprise data through appropriate semantic and context layers.
  • Implement continuous processes to keep metadata and catalog information current as enterprise systems change.
  • Design and support data models across Oracle and SQL Server environments.
  • Work with AWS and Azure cloud technologies and enterprise data platforms.
  • Evaluate and implement solutions involving vector databases and feature stores, where applicable.
  • Develop Python scripts and automation solutions to support data management and metadata processes.
  • Maintain technical documentation, architecture standards, data models, lineage documentation, and governance artifacts.
  • Use GitHub for source control and collaboration.
  • Collaborate with stakeholders and technical teams to deliver scalable, secure, and well-governed enterprise data solutions.
Preferred Qualifications
  • Experience working with Texas State Government agencies.
  • Experience implementing enterprise MDM/Data Catalog solutions in large organizations.
  • Experience with AI/ML and generative AI data enablement.
  • Experience with semantic/context layers and metadata-driven AI discovery.
  • Experience with vector databases and feature stores.
  • Strong understanding of enterprise data governance and security.
  • Strong communication, analytical, and problem-solving skills.
Key Skills

Database Architecture, Enterprise Data Architecture, MDM, Master Data Management, Data Catalog, Microsoft Purview, Collibra, Alation, Oracle, SQL Server, Data Modeling, DBA, AI/ML, Semantic Layer, Context Layer, AWS, Azure, AWS Data Lake, Data Governance, Data Classification, Data Security, Data Lineage, Informatica, Fivetran, API Design, Metadata Harvesting, Event-Driven Integration, Vector Databases, Feature Stores, Python, GitHub

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