ZipRecruiter

Log In

1

Data Architect Jobs in Spring, TX (NOW HIRING)

Halliburton

Senior Data Architect - Landmark

Houston, TX · On-site

$58 - $77.50/hr

ABOUT THE ROLE As the Senior Data Architect, at Landmark, you will architect and design the next generation data platform Landmark applications will be built on. The Platform Delivery Managers own ...

Halliburton

Senior Data Architect - Landmark

Houston, TX · On-site

$64.25 - $86/hr

ABOUT THE ROLE As the Senior Data Architect, at Landmark, you will architect and design the next generation data platform Landmark applications will be built on. The Platform Delivery Managers own ...

Halliburton

Senior Data Architect - Landmark

Houston, TX

$58 - $77.50/hr

ABOUT THE ROLE As the Senior Data Architect, at Landmark, you will architect and design the next generation data platform Landmark applications will be built on. The Platform Delivery Managers own ...

Rysun Labs Inc

Data Technical Architect

Houston, TX · On-site

$70/hr

Data Technical Architect Location: Houston Tx Experience: 6+ Years Mandatory Certification: * Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key ...

Bray Architects

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Drive data integration architecture between MDM/PIM and enterprise systems - including ERP (Infor LN, etc.), CRM (Microsoft Dynamics, etc.), and Engineering Data Management systems (PLM, EPDM)

Staffingine LLC

Snowflake Architect

Houston, TX · On-site

$61 - $78.25/hr

Snowflake Architect Job Location: Houston, Texas Job Type: Full-Time * Design, build, and maintain ... Develop data ingestion and extract-load processes using Informatica , aligning with enterprise ...

Staffingine LLC

Snowflake Architect

Houston, TX · On-site

$61 - $78.25/hr

Snowflake Architect Job Location: Houston, Texas Job Type: Full-Time * Design, build, and maintain ... Develop data ingestion and extract-load processes using Informatica , aligning with enterprise ...

Viridien

Enterprise IT, Data & AI Architect

Houston, TX · On-site

Job Summary We are seeking a highly experienced Enterprise IT, Data & AI Architect to lead the design, integration, and governance of our technology, data, and AI landscape. This senior role bridges ...

next page

Showing results 1-20

All JobsData Architect JobsData Architect Jobs in Spring, TX

Data Architect information

See Spring, TX salary details

$9

$62

$83

How much do data architect jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data architect in Spring, TX is $62.27, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $70.14 per hour, depending on experience, location, and employer.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data and develop effective data strategies. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills highly sought after across various industries.

What are the key skills and qualifications needed to thrive as a Data Architect, and why are they important?

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

What does a data architect actually do?

A data architect designs and manages the overall structure of an organization’s data systems, including databases, data warehouses, and data pipelines. They develop data models, establish data standards, and ensure data quality and security, often using tools like SQL, cloud platforms, and data modeling software. Their role is essential for enabling efficient data access and supporting analytics and business decision-making.

What are Data Architects?

Data Architects are IT professionals responsible for designing, creating, and managing an organization's data infrastructure. They develop blueprints for data management systems to integrate, centralize, and maintain data efficiently and securely. Data Architects ensure that data is accessible, reliable, and meets the needs of the business while adhering to industry standards and compliance requirements. Their work often involves collaborating with database administrators, data engineers, and business stakeholders.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

How does a Data Architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

How much do AI data architects make?

AI data architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in machine learning, data modeling, and cloud platforms can command higher salaries. Certifications and expertise in tools like SQL, Python, and data management systems also influence compensation.

What Is a Data Architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

More about Data Architect jobs
What are popular job titles related to Data Architect jobs in Spring, TX? For Data Architect jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Architect jobs in Spring, TX look for? The top searched job categories for Data Architect jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Architect jobs? Cities near Spring, TX with the most Data Architect job openings:
Data Architect jobs near you
Talent Data Management Manager - Principal Data Architect (Location Flexible)

Talent Data Management Manager - Principal Data Architect (Location Flexible)

RSM

Houston, TX

Full-time

Posted 16 days ago

Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.

The Talent Data Management Manager serves as the Principal Data Architect for Talent Technology and is responsible for defining and executing the strategic vision for the firm's HR data ecosystem. This roleleadsthe design, governance, and evolution of the Talent Operational Data Store (ODS), ensuring HR data is scalable, secure, reliable, and optimized to support enterprise reporting, analytics, and business intelligence.

As the organization's HR data architecture leader, this position is responsible for designing modern relational database solutions and Azure-based data warehouse architecture that enable trusted, high-quality data for downstream analytics and Power BI reporting. The role partners closely with HRIS, Talent Analytics, Reporting, and business stakeholders to translate complex HR business processes into scalable, sustainable data solutions.

This leader will manage the Database Administrator while serving as the organization's technical authority for HR data architecture. The role will frequently operate as a player/coach by providing architectural leadership, technical guidance, mentoring, and hands-on design expertise for critical initiatives.

Responsibilities:

Strategic Leadership & Data Architecture (50%)

  • Develop and execute the long-term strategy and roadmap for the Talent Operational Data Store and enterprise HR data architecture.

  • Lead and manage the Database Administration function by providing technical leadership, coaching, mentoring, and performance management.

  • Serve as the Principal Data Architect for Talent Technology, establishing enterprise data architecture standards and best practices.

  • Design scalable relational database structures and Azure-based data warehouse solutions that support current and future business needs.

  • Develop conceptual, logical, and physical data models that optimize reporting, analytics, scalability, and system performance.

  • Partnerwith HRIS, Talent Analytics, Reporting, and business leaders to ensure data architecture aligns with business strategy and enterprise objectives

  • Evaluate current data structures and recommend modernization opportunities that improve usability, scalability, and operational efficiency.

  • Lead architectural decisions for new HR technologies and ensure alignment with enterprise architecture standards.

  • Provide architectural oversight for large-scale Talent Technology initiatives involving enterprise HR data.

  • Guide technical decision-making on complex data challenges while balancing business priorities and long-term sustainability.

  • Establish standards for database design, metadata management, documentation, naming conventions, and data lifecycle management.

  • Communicate architectural direction, project progress, risks, and recommendations to senior leadership and key stakeholders.

  • Foster a culture of continuous improvement, innovation, and technical excellence across the Talent Data Management function.

Talent Data Management & Operational Data Store (35%)

  • Lead the design, development, implementation, and ongoing evolution of the HR Operational Data Store (ODS).

  • Design and maintain enterprise HR data models that accurately represent business processes and organizational relationships.

  • Develop and maintain conceptual, logical, and physical data models supporting Workforce, Recruiting, Learning, Compensation, Payroll, Organizational Management, and other Talent domains.

  • Build scalable Azure-based data warehouse solutions that support enterprise reporting and advanced analytics.

  • Design relational database structures that optimize reporting performance and simplify downstream consumption by analytics platforms.

  • Understand end-to-end HR business processes and translate functional requirements into scalable technical data solutions.

  • Create and maintain technical documentation, including entity relationship diagrams (ERDs), data dictionaries, metadata, data lineage, mapping specifications, and solution architecture documentation.

  • Ensure data quality, consistency, integrity, and reliability across the Talent data ecosystem.

  • Partner closely with the Power BI and Reporting teams to ensure the operational data store and data warehouse are optimized for semantic modeling, dashboard development, and self-service analytics.

  • Anticipate future reporting and analytical needs by designing reusable, extensible, and scalable data structures.

  • Collaborate with HRIS and business stakeholders to continuously improve the firm's Talent data strategy and architecture.

  • Drive database optimization initiatives to improve system performance, reliability, and reporting efficiency.

Data Governance, Quality & Operational Excellence (15%)

  • Develop and maintain enterprise standards for HR data governance, quality, and operational data management.

  • Establish quality controls and validation processes that ensure trusted, accurate, and consistent HR data.

  • Partner with HRIS and business stakeholders to define data ownership, stewardship, and governance practices.

  • Ensure compliance with enterprise security, privacy, legal, and regulatory requirements.

  • Participate in architecture and solution reviews to ensure new initiatives align with enterprise data standards.

  • Support metadata management, master data management, data lineage, and data catalog initiatives.

  • Promote best practices for database architecture, documentation, and operational excellence.

  • Provide technical consultation, education, and mentorship on HR data architecture across Talent Technology.

  • Maintain knowledge of emerging Azure data technologies and industry best practices to continuously improve the Talent data platform.

Other duties as assigned

MinimumRequirements

Education & Experience

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Architecture, Software Engineering, or a related technical field.

  • 5+ years of experience designing enterprise data architecture, operational data stores, enterprise data warehouses, or relational database solutions.

  • 2+ years of leadership experience, including managing technical teams or leading enterprise data initiatives.

  • Demonstrated experience designing and implementing enterprise data warehouse solutions using Microsoft Azure technologies.

  • Experience designing scalable relational database solutions supporting enterprise reporting and business intelligence.

  • Experience translating business requirements into conceptual, logical, and physical data models.

  • Experience partnering with analytics and reporting teams to build reporting-ready data solutions.

  • Experience working with HR, ERP, or other enterprise operational data is preferred.

TechnicalSkills

  • Strong experience designing and implementing Azure-based enterprise data warehouse solutions.

  • Hands-on experience with Azure technologies, including:

  • Azure SQL Database

  • Azure Synapse Analytics

  • Azure Data Factory

  • Microsoft Fabric

  • Azure Data Lake Storage (ADLS)

  • Azure SQL Managed Instance (preferred)

  • Expert understanding of relational database design principles, normalization, indexing, and performance optimization.

  • Advanced experience developing conceptual, logical, and physical enterprise data models.

  • Experience designing Operational Data Stores (ODS), enterprise data warehouses, and dimensional data models.

  • Strong SQL development and database performance tuning skills.

  • Experience designing ETL/ELT data transformation frameworks.

  • Strong understanding of metadata management, master data management, data lineage, and enterprise data governance.

  • Experiencecreating architecture documentation including ERDs, solution architecture diagrams, data dictionaries, and technical specifications.

  • Working knowledge of Power BI semantic models, data modeling, and performance optimization.

  • Understanding of enterprise security, role-based access, and data privacy best practices.

  • Experience with HR data domains including Core HCM, Recruiting, Learning, Compensation, Payroll, Organizational Management, and Talent Management is preferred.

Leadership & SoftSkills

  • Strategic thinker with the ability to establish and execute a long-term enterprise data architecture vision.

  • Strongsystems-thinking mindset with the ability to understand how data flows across enterprise platforms and supports business outcomes.

  • Ability to translate complex technical concepts into clear business recommendations for executive and non-technical audiences.

  • Demonstrated ability to influence cross-functional stakeholders and build strong partnerships across HRIS, Analytics, Reporting, and Technology teams.

  • Strong coaching and mentoring skills with a passion for developing technical talent.

  • Exceptional analytical, architectural, and problem-solving capabilities.

  • Ability to balance strategic initiatives with operational priorities while maintaining a high standard of data quality and governance.

  • Strong written, verbal, presentation, and stakeholder management skills.

  • Ability to prioritize competing priorities and successfully lead multiple complex initiatives in a fast-paced environment

At RSM, we offer a competitive benefits and compensation package for all our people.We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients.Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $136,800 - $242,000

Apply