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Live In Data Modeling Jobs in Austin, TX (NOW HIRING)

The ideal candidate will have a proven track record in wealth management or financial services, deep expertise in data modeling, MDM (e.g., Profisee), and experience architecting cloud-native data ...

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Proficient in data warehousing, data modeling, ETL and SQL * In-depth knowledge of contemporary ...

Data Architect

Austin, TX · Remote

$63.25 - $81.25/hr

Applicants must be legally authorized to work in the United States on a permanent basis without current or future sponsorship. What you'll do: * Architect and maintain enterprise data models, schemas ...

Sr. Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures . * Experience with ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Strong understanding of data modeling, ETL/ELT patterns, and data warehouse or lakehouse architecture * Demonstrated use of AI tools in day-to-day engineering work - this is not optional; we expect ...

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

... in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding - Bachelor ...

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Proficient in data warehousing, data modeling, ETL and SQL * Prior experience or working knowledge ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... data modeling, ETL/ELT patterns, and data warehouse or lakehouse architecture * • Demonstrated use of AI tools in day-to-day engineering work -- this is not optional; we expect engineers to be ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... data modeling, ETL/ELT patterns, and data warehouse or lakehouse architecture * • Demonstrated use of AI tools in day-to-day engineering work -- this is not optional; we expect engineers to be ...

Data Architect

Austin, TX · Hybrid

$63.25 - $81.25/hr

Strong background in data modeling and multi-system integration architecture. * Ability to evaluate ... Candidates are expected to respond based on their own experience and thinking during live ...

We are seeking an experienced Data Warehouse Professional with strong expertise in Data Warehousing, ETL Development, Data Modeling, Business Intelligence, Reporting, and Database Technologies. The ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Years Required/Preferred Experience 10 Required Experience in data architecture, data modeling, and data warehousing. 10 Required Experience with business intelligence and big data solutions. 10 ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Proficiency in data engineering languages, frameworks, and tooling, including SQL, Python, and DBT. * Strong command of best practices for data modeling, data pipelines, data transformations, and ...

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Live In Data Modeling information

See Austin, TX salary details

$10

$58

$82

How much do live in data modeling jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for live in data modeling in Austin, TX is $58.20, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $67.69 per hour, depending on experience, location, and employer.

What is the difference between Live In Data Modeling vs Data Analyst?

AspectLive In Data ModelingData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; certifications like CDMPBachelor's in Statistics, Data Science, or related; certifications like CAP or Microsoft Data Analyst
Work EnvironmentCollaborative, often on-site, working closely with data teams and stakeholdersOffice or remote, analyzing data sets, creating reports, and visualizations
Industry UsageUsed in industries requiring detailed data modeling for live systems, such as finance or techCommon across various industries for interpreting data and supporting decision-making
Search & Comparison IntentPeople comparing roles involving live data modeling tasks with data analysis

Live In Data Modeling focuses on designing and maintaining data structures for live systems, requiring technical modeling skills. Data Analysts interpret data through reports and visualizations. While related, Live In Data Modeling emphasizes data architecture, whereas Data Analysts focus on data interpretation and insights.

What cities near Austin, TX are hiring for Live In Data Modeling jobs? Cities near Austin, TX with the most Live In Data Modeling job openings:

Lead Data Architect (P4)

Kestra Holdings

Austin, TX • On-site

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Kestra Holdings offers industry-leading wealth management platforms for independent wealth management professionals nationwide. Kestra is dedicated to empowering independent financial professionals-including traditional and hybrid RIAs-to grow their businesses and deliver exceptional client service. We combine advanced business management technology with personalized consulting to provide unmatched scale, efficiency, and support. Our advisor-focused culture is built on innovation and advocacy, enabling advisors to offer comprehensive securities and investment advisory solutions to their clients.
Lead with Purpose. Partner with Impact.
We are seeking a Lead Data Architect to drive the design and implementation of our enterprise data architecture with a focus on Azure Data Lake, Databricks, and Lakehouse architecture. This role will serve as the data design authority, ensuring alignment with enterprise standards while enabling business value through scalable, high-quality data solutions.
The ideal candidate will have a proven track record in wealth management or financial services, deep expertise in data modeling, MDM (e.g., Profisee), and experience architecting cloud-native data platforms that support analytics, AI/ML, and regulatory and compliance requirements.
What you'll Do:
  • Define and own the enterprise data architecture strategy, standards, and patterns across Wealth Management initiatives.
  • Lead the design and implementation of Azure-based Lakehouse architecture leveraging Azure Data Lake, Databricks, Delta Lake, and related services.
  • Serve as the data design authority, governing data models, integration patterns, metadata management, and data quality standards.
  • Architect and implement Master Data Management (MDM) solutions, preferably with Profisee, to ensure golden records, hierarchies, and reference data integrity.
  • Collaborate with business stakeholders, data engineers, and analysts to translate business requirements into scalable data architecture and data models.
  • Ensure alignment with data governance, security, and compliance frameworks (e.g., FINRA, SEC).
  • Provide technical leadership in data design, ETL/ELT best practices, and performance optimization.
  • Partner with enterprise architects, solution architects, and technology leaders to integrate data architecture with application and cloud strategies.
  • Mentor and guide data engineers and modelers, building a culture of engineering and architecture excellence.

What You Bring:
  • 10+ years of experience in data architecture, data engineering, or related fields, with at least 5 years in a lead/architect capacity.
  • Strong expertise in Azure Data Lake, Databricks, Delta Lake, and Lakehouse architecture.
  • Hands-on experience architecting and implementing MDM solutions (Profisee strongly preferred).
  • Deep knowledge of data modeling (conceptual, logical, physical) and metadata management.
  • Experience as a data design authority, setting standards and ensuring architectural alignment across programs.
  • Strong understanding of Wealth Management / Financial Services business processes, data domains (clients, accounts, portfolios, products, transactions), and regulatory data needs.
  • Proficiency in SQL, Python, Spark, and modern ELT/ETL tools.
  • Familiarity with data governance, lineage, cataloging, and data quality tools.
  • Excellent communication and leadership skills to engage with senior business and technology stakeholders.

Internal Application Policy:
Internal applicants must be in good standing and have a minimum of 1 year of service with Kestra. Internal applicants must also have a minimum of 1 year service in current role unless approved by EVP.
Benefits to support you:
  • Competitive pay and benefits with a large employer (over 1600 employees nationwide)
  • 401(k), health insurance, and a competitive benefits package
  • Work in a supportive, collaborative environment committed to professional excellence
  • Help clients navigate meaningful financial decisions with confidence
  • Opportunities for training, development, and long-term growth within the firm
  • Tuition reimbursement for qualified expenses

Kestra Values:
Our Mission is Powering Financial Independence, enabling the growth and success of investing clients and the advisors who serve them. We do that by living our values: Serve, Make it Happen, and One team.
Explore Life at Kestra
Kestra Holdings Website: https://www.kestrafinancial.com/
Careers Portal: https://jobs.dayforcehcm.com/en-US/kestra/KESTRACAREERSITE
LinkedIn: https://www.linkedin.com/company/kestra-financial
Apply Today
Lead with purpose. Apply now and help shape the future of Kestra.
DisclosureBy applying to a job at Kestra Financial, Inc., you are agreeing to the following statements:
  • You acknowledge that if hired, Kestra Financial, Inc. may, obtain and use background information concerning your credit, character, general reputation, personal characteristics, work habits, performance and experience for evaluation for your potential employment.
  • It is the policy of Kestra Financial to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender, identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Kestra Financial prohibits any such discrimination or harassment.