Staff Software Engineer

cdk; Austin (TX); Remote; USD 140,000 - 170,000; Full time

Benefits offered by this job

PTO

401K Matching Program

Tuition Reimbursement

Job summary

CDK Global, LLC is seeking a Staff Software Engineer to lead large‑scale data engineering and cloud migration initiatives. You will architect and implement enterprise ETL systems using Azure Data Factory, SSIS, and AWS Glue, and guide modernization from on‑prem to cloud platforms across Azure and AWS.

The role emphasizes data modeling, ingestion frameworks, and cross‑functional leadership with CRM and security teams. Strong SQL Server, T‑SQL, and coding skills in C#/Python are required.

Qualifications

• Bachelor’s degree in CS/CE or related field required.
• 8+ years in software development or data engineering roles.
• Strong experience with SQL Server and T‑SQL in transactional and analytic workloads.
• Proven track record migrating on‑prem ETL to cloud platforms (Azure/AWS).
• Hands‑on with ETL tools: SSIS, AWS Glue, Azure Data Factory.

Responsibilities

• Lead design and buildout of enterprise ETL & data processing systems.
• Architect migration paths from on‑prem to cloud for CRM/enterprise data.
• Mentor engineers, drive QA validation, and ensure data quality.
• Collaborate with security, CRM, and cloud teams on modernization.

Skills

ETL architecture

Azure Data Factory

AWS Glue

SSIS

SQL Server / T-SQL

Python

C# / ASP.NET

VB

Data modeling

Cloud migration

Data governance & security

Git / DevOps

CI/CD tooling

SQL performance tuning

Snowflake / analytics platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

SSMS

SSRS / SSAS

Azure SQL Managed Instance

Snowflake

Job description

CDK Global, LLC seeks Staff Software Engineer at its facility located at 11809 Domain Drive, Suite 200, Austin, TX 78758.

JOB DESCRIPTION:

Apply specialized expertise in large-scale data engineering, ETL architecture, database design, and cloud migration across Azure and AWS platforms. Architect and implement enterprise ETL and data processing systems using Azure Data Factory, SSIS, AWS Glue, and cloud storage platforms such as Azure Data Lake and AWS S3. Design and maintain data models, ingestion frameworks, and transformation logic supporting CRM workflows and enterprise data services. Lead the design and buildout of new ETL environments for cloud readiness, including migration from on premise SQL Server and SSIS workloads to Azure Data Factory. Lead cross-functional engineering efforts involving data platform teams, cloud engineering, CRM engineering, security, and infrastructure. Lead the ETL engineering team in migrating the full on prem ETL environment to Azure Data Factory, including technical planning, dependency management, pipeline conversion, and QA validation. Coordinate delivery for core CRM processing systems including dealer data ingestion (DMSSOR), reference data processing, customer access databases, and pod migration workflows. Solve complex technical challenges involving large-scale data ingestion, cloud integration, ETL optimization, and legacy system modernization. Redesign legacy ETL pipelines to operate efficiently in Azure, including conversion of SSIS packages into ADF pipelines. Modernize multiple legacy VB6-based systems by converting logic to C# (SSIS) and decommissioning outdated components. Implement enterprise-wide data retention, archiving, and purging processes to improve system performance and ensure compliance. Provide architectural leadership and technical direction for cloud migration and enterprise data initiatives. Develop system architecture diagrams, migration strategies, and cloud transition plans for ETL workloads. Define data integration approaches for the Connected Communications Platform (CCP) migration from on prem SQL to AWS S3 and AWS Glue. Lead design and implementation of the Master Data Management (MDM) "Golden ID" solution to provide unified customer identity across dealership platforms. Mentor engineers and provide specialized technical guidance on cloud ETL, data modeling, SQL optimization, and cloud migration processes. Provide technical direction on ADF pipeline development, data architecture, SQL Server and PostgreSQL optimization, and cloud transformation. Conduct code reviews, data model reviews, and architectural evaluations. Partner with functional leadership to influence platform modernization priorities and architectural decisions. Collaborate with product leaders, cloud engineers, and CRM stakeholders to determine migration timelines, resource requirements, and technical prioritization. Support roadmap discussions related to decommissioning legacy systems and migrating to DMSSOR/Gen SOR. Support cross-functional teams with technical expertise related to cloud systems, data integration, and ETL performance. Assist CRM engineering, infrastructure, and security teams with data flow design, cloud ingestion patterns, ADF/SSIS processing logic, and ETL optimization. Maintain compliance with CDK policies, security standards, and data governance requirements. Ensure adherence to cloud security, IAM configuration, data encryption, retention policies, and regulatory requirements across ETL and CRM systems. Meet expected deliverables for cloud migration, data platform modernization, and enterprise integration projects. Deliver migration milestones for Azure ETL, CCP cloud transition, MDM implementation, Sunset Legacy DMS systems and DMS system modernization. 100% Telecommuting.

REQUIREMENTS:

This position requires a Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or related field and 8 years of experience as a Software Developer, or related occupation. Additionally, the applicant must have employment experience with: (1) Using Microsoft SQL Server and T-SQL to design, develop, and support relational database solutions, including creating tables, views, stored procedures, and functions, as well as writing and optimizing complex queries through indexing, execution plan analysis, and query tuning for transactional and reporting systems; (2) Using ETL and data integration tools such as AWS Glue, AWS Lambda, SQL Server Integration Services (SSIS) and Azure Data Factory on Microsoft Azure to extract, transform, and load data cross enterprise systems, including operating data pipelines and validating data accuracy and performance in cloud environments; (3) Using application development technologies such as ASP.NET, C#, VB, ADO.NET and Python to build and integrate application-level data access layers with backend databases; (4) Using database administration tools such as SQL Server Management Studio (SSMS), SQL Server Agent, Maintenance Plans, and Azure SQL Managed Instance’s automated management features to support backup and restore operations, index maintenance, statistics updates, and routine database health monitoring; (5) Using application and system monitoring tools such as AppDynamics, New Relic, Logic Monitor, and Azure Monitor to observe production environments, identify performance issues, and support troubleshooting of database and application systems; (6) Using reporting and analytics technologies such as SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), and cloud data platforms like Snowflake to build and support analytical datasets and reporting solutions for business and operational use; (7) Using source control and release management tools such as Git, Team Foundation Server (TFS), Azure DevOps, and Harness CI/CD to manage code versions, support continuous integration and deployment, and maintain application and database codebases; (8) Working with CI/CD processes and tools, including Git, Azure DevOps, Bitbucket, Liquibase (DB Deployment), Terraform, and Harness to support version control, automate deployments, and manage environment configurations across development and production systems; (9) Working in Agile/Scrum environments using tools such as Jira and Confluence; participating in sprint planning, backlog refinement, and team collaboration activities; (10) Designing data models and supporting data warehouse environments, including dimensional modeling; developing datasets and queries to support reporting and business intelligence tools such as Snowflake, Power BI or Tableau; (11) Designing and supporting relational and NoSQL databases, including Microsoft SQL Server, PostgreSQL, MySQL, and MongoDB, working with structured and semi structured data and supporting both transactional and analytical workloads in distributed environments; and (12) Monitoring and troubleshooting databases and application performance using tools such as AppDynamics, New Relic, Redgate, AWS CloudWatch, SQL Profiler, and Azure Monitor; investigating issues, analyzing trends, and supporting incident resolution in production environments.

CDK Global is committed to fair and equitable compensation practices. Compensation packages are based on several factors, including but not limited to skills, experience, certifications, and work location. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.We offer Medical, dental, and vision benefits in addition to:

• Paid Time Off (PTO)
• 401K Matching Program
• Tuition Reimbursement

At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact.

CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law.

Applicants must be legally authorized to work in the United States without the need for current or future employment-based visa sponsorship.

The employee must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship. CDK retains the right to change or assign other duties to this position as needed.