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Azure Data Engineer Jobs in Georgetown, TX (NOW HIRING)

Kestra Holdings

Lead Data Architect (P4)

Austin, TX · On-site

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 ...

CDK Global, Inc.

Staff Software Engineer

Austin, TX · On-site

Architect and implement enterprise ETL and data processing systems using Azure Data Factory, SSIS, ... Lead cross-functional engineering efforts involving data platform teams, cloud engineering, CRM ...

CDK

Staff Software Engineer

Austin, TX · On-site

Architect and implement enterprise ETL and data processing systems using Azure Data Factory, SSIS, ... Lead cross-functional engineering efforts involving data platform teams, cloud engineering, CRM ...

Pwc

Data Governance- Manager

Austin, TX · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

ALIS Software LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Azure, or GCP). • Strong analytical, problem-solving, and communication skills. Preferred Skills • Experience with Python for automation or data processing. • Familiarity with Terraform, DBT ...

New

Deloitte

Sr Databricks Data Engineer

Austin, TX

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

Quisitive

Azure Architect

Austin, TX · Remote

$63 - $82/hr

... Data Factory * Infrastructure as Code using Bicep, Terraform, Azure Resource Manager templates, or Azure custom policies * Azure DevOps * ITIL practices and IT service management toolsets ...

First Citizens Bank

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Advanced experience with cloud platforms such as AWS , Azure, or GCP. * Advanced experience with ...

First Citizens Bank

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Advanced experience with cloud platforms such as AWS , Azure, or GCP. * Advanced experience with ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Georgetown, TX

Azure Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

How much do azure data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for azure data engineer in Georgetown, TX is $120,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

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

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are the most commonly searched types of Azure Data Engineer jobs in Georgetown, TX?

The most popular types of Azure Data Engineer jobs in Georgetown, TX are:

What are popular job titles related to Azure Data Engineer jobs in Georgetown, TX?

For Azure Data Engineer jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Georgetown, TX look for?

The top searched job categories for Azure Data Engineer jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Azure Data Engineer jobs?

Cities near Georgetown, TX with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.

Lead Data Architect (P4)

Kestra Holdings

Austin, TX • On-site

Full-time

Medical, Retirement

Re-posted yesterday

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.

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