At CDK Global, we are focused on connections that allow us to deliver world-class software, support, and data insights. Our values define who we are and how we show up for each other, our customers, and our communities.
Our values: Stay Curious, Own It, Be Open, Create Possibilities
The CDK Global technology team is looking for collaborative innovators who are passionate about making their mark on emerging enterprise software products. We are crafting and honing cloud technology for the automotive retail industry that will change the landscape for automotive dealers, original equipment manufacturers (OEMs), independent software vendors (ISVs) and the customers they serve. Data is a strategic growth area for CDK, and we are focused on developing data products and services to unleash the value of data and improve the overall customer experience. One of the key roles we are looking for is a Sr. Data Architect, who will be hands-on, provide technical thought leadership to our teams, and help architect, design, build, tune and efficiently operate our data platform at scale, to keep pace with the ever-evolving data and API product roadmaps that supports all the modern/strategic initiatives at CDK. If combining software and systems engineering expertise to build and run large-scale, massively distributed, fault-tolerant, highly available and performant enterprise-grade solutions is your passion, this is the role for you.
Growth potential, flexibility and material impact on the success and quality of next-gen solutions, make CDK an excellent choice for those who thrive in challenging, fast-paced engineering environments. The possibilities for impact are endless. We have exceptional opportunities to evolve our industry by driving change through modern technologies.
If you are an engineer who is passionate about technology solutions, want to work with the best software craftsmen in the industry and are looking for an exciting career with a leader in the automotive retail vertical, blazing the trail on the digital frontier, you may have found your new home.
Responsibilities:
Collaborate well with necessary stakeholders to ensure thorough understanding of the business requirements, both functional and non-functional, and architect solutions that will effectively and efficiently solve for the needs, spanning a multitude of use cases across Data Warehousing, APIs, Reporting / Analytics, Data Science / Machine Learning
Design, Build, Implement, Continually Assess and Optimize data platform including pipelines / databases / data warehouses / lakes, ensuring data integrity and consistency, efficient data processing, enhancing system performance / resiliency / scalability, improving cost effectiveness, maintaining and improving data security
Design and Build curated data models which will be used by data consumers to address business questions today and in the future, ensuring the data model is extensible, flexible and scalable
Work across the product organizations to develop fit for purpose data architecture for different use cases
Collaborate with our customer team to ensure the architecture supports the deployability and serviceability of data and API products built on our data platform
Champion and Ensure data security and compliance with data protection regulations. Define and implement best practices for data access controls and encryption
Lead the strategic planning and execution of migrating existing in-house data platforms to cloud, ensuring minimal disruption, data integrity and relevant SLAs / SLOs
Collaborate with the Data Governance team to develop strategies for MDM including data profiling, data cleansing, data standardization, data quality management practices to monitor and improve data quality, and ensure consistent and accurate master data
Leverage automation and tools to streamline data operations and make them scalable to accommodate growing data volumes and user traffic
Measure, monitor, tune, optimize and proactively improve / ensure:
Data quality, freshness, lineage, security, auditing and discoverability
High availability / resiliency, performance, reachability and overall system health
Overall operating costs
Expertly troubleshoot issues with distributed systems, interactions between cloud technology layers and components, common dependencies at scale
Practice sustainable incident response, blameless postmortems, root cause elimination to prevent recurrence and continuous improvement of efficiencies, effectiveness, scale and performance
Define, Maintain and Champion the best practices and standards to build / maintain / leverage the data platform and craft enterprise grade solutions, with all the teams across the portfolio
Embrace and champion engineering excellence, earnestly participate in peer reviews, effectively and efficiently reduce technical debt, improve code quality, supportability, and overall expendability
Embrace and Champion operational excellence and a DevSecOps culture leveraging IaC, CI/CD, End-to-End Observability and Proactive Capacity Management, collaborating well with product, infrastructure and customer teams
Research, evaluate, identify alternative approaches, recommend, design and code efficient and effective solutions for challenging problems ranging from small to large work efforts for low to high complexity problems
Proactively Identify and Champion opportunities in processes, system capabilities and delivery methodologies for continuous improvement as applicable to improve operational maturity
Research and maintain an awareness in industry trends, advances in distributed systems and cloud technologies, tools, and/or processes for maintaining and improving data quality, freshness, security, traceability, availability, reliability, efficiency, observability, and performance
Minimum qualifications:
Bachelor's degree, or equivalent experience, in Computer Science, Engineering, or related field, with 12+ years of relevant experience with large-scale enterprise-grade solutions
Demonstrated experience setting up stable, scalable frameworks
Proven experience as a Data Architect
8+ years of experience relevant to the responsibilities listed above, including event driven architectures, cloud native, distributed / SaaS solutions, data-intensive applications, and data platforms
6+ years of experience with ensuring data quality, proactive monitoring, smart alerting, ensuring performance / scalability and proactive capacity management of enterprise-grade solutions
Expertise in data technologies, such as relational databases (e.g., Oracle, PostgreSQL, SQL Server), cloud data lakes / warehouses (e.g., Snowflake, Redshift), data pipelining (e.g., Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, Azure)
Strong understanding of data modeling techniques and experience in designing scalable data models for cloud data warehouses
Strong programming skills in languages like Python, with experience in data processing, automation and scripting
Expertise with advanced analytical SQL, PL/SQL and tuning
Experience with data governance, data security, and compliance best practices
Expertise with troubleshooting distributed pipelines and platforms
Expertise with monitoring and alerting tools (e.g., New Relic, Prometheus, Grafana)
Strong analytical and problem-solving skills, with a keen attention to detail
Experience with containerization and orchestration tools like Docker and Kubernetes
A level of comfort with Linux
Solid communication and collaboration skills
Preferred qualifications:
Experience migrating large-scale on-prem data to cloud
Experience with data cataloging (e.g., Alation, Collibra)
Experience with programming languages like Java
Experience with Databricks
Experience with CI/CD pipelines and Infrastructure as code
Knowledge of AI and ML tools
Any Data Engineer certifications
Automotive retail experience
Compensation: $190,000 - $240,000
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.
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 for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.
