Data Architect

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Architect Atlanta, Georgia Overview The Data Architect designs, develops and maintains integration solutions using the MuleSoft Anypoint Platform. They create and manage APIs, ensure seamless data flow between systems, and provide technical support for integration solutions. The Data Architect will work closely with the IT team and business stakeholders to develop integration solutions that support the organization's goals and objectives, develop scalable data and API solutions, ensure seamless data flow across systems, and support the Data Analytics platform to drive data-driven decision-making. Primary Duties & Responsibilities Maintain a deep understanding of Microsoft data solutions, data modeling, and database design, ensuring data systems are scalable, secure, and aligned with business goals. Develop and implement cohesive Data Fabric solutions that integrate disparate data sources across cloud and on-premises environments. Design and manage data transformation and processing workflows using tools like Fabric Spark, PySpark, and SQL. Ensure seamless data flow across systems and platforms, supporting real-time analytics, business intelligence, and operational reporting. Design, develop, and enhance integration solutions, APIs, and flows using the MuleSoft Anypoint Platform, ensuring reliability, scalability, and performance. Create, test, and manage APIs and integration flows that enable seamless connectivity between internal systems, third-party applications, and cloud-based services. Perform unit testing, quality assurance, debugging, and ongoing troubleshooting of integrations for all databases and applications across all environments. Develop solutions and proof of concepts (PoCs) based on business and project needs to validate integration approaches. Implement and enforce best practices, reusable patterns, and standards in integration design; manage API lifecycle

Read the full description at careers-beazer.icims.com. FewerJobs shows a preview and links to the original posting.