Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Designs and builds robust, scalable data pipelines and data platform solutions across Tekion's enterprise data platform. Works independently on complex data engineering features and systems while collaborating with peers to deliver high-quality, AI-assisted data products, optimize pipeline performance, and continuously improve data engineering practices. Brings a strong eye for data quality and builds pipelines that are end-to-end reconcilable by design.
Key Role and Responsibilities:Designs, develops, and maintains data pipelines, data models, and data platform services across the Bronze, Silver, and Gold layers.
Writes clean, efficient, and well-documented transformation logic using dbt and Databricks Delta Live Tables (DLT), with a focus on scalability, maintainability, and data correctness.
Participates in data architecture discussions and contributes to decisions around pipeline design, data modeling, and platform component design.
Builds and enforces data quality checks at every layer of the pipeline, including schema validation, null checks, referential integrity, and business rule assertions, ensuring issues are caught early and never silently passed downstream.
Designs pipelines with end-to-end reconciliation in mind, ensuring row counts, aggregates, and key metrics can be traced and validated from source systems through to Gold layer outputs.
Monitors and responds to data quality alerts, investigates anomalies, performs root cause analysis, and drives permanent fixes rather than temporary patches.
Develops and maintains data quality SLAs and works with upstream data owners to resolve source-level issues that impact downstream data products.
Develops and maintains data quality checks, pipeline tests, and end-to-end validation to ensure data product reliability and accuracy.
Collaborates with cross-functional teams including business stakeholders, analysts, and product managers to gather requirements and translate them into well-defined data products.
Troubleshoots production pipeline failures and supports root cause analysis to drive platform reliability and SLA adherence.
Builds and maintains analytical dashboards using Tableau or Databricks AI/BI, enabling self-serve insights for business teams.
Designs, builds, and optimizes Databricks Genie spaces to support natural language querying of Gold layer data.
Develops and optimizes AI agents and data agents, leveraging AI coding assistants to accelerate pipeline development and reduce time to delivery.
4 to 6 years of experience in data engineering or a closely related discipline
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Hands-on experience building and operating data pipelines on Databricks or an equivalent AI-first data platform
Proficiency in Python and SQL; experience with dbt and Databricks Delta Live Tables (DLT) for real-time and near-real-time pipeline development
Experience designing and implementing data quality frameworks including schema validation, null and duplicate checks, referential integrity enforcement, and business rule assertions
Demonstrated ability to build end-to-end reconcilable pipelines where row counts, aggregates, and key metrics can be validated at every stage from source to Gold
Experience with relational and/or NoSQL databases, REST APIs, and cloud-based data services
Strong understanding of lakehouse architecture, data modeling, testing practices, and CI/CD pipelines for data workflows
Demonstrated ability to build and optimize Databricks Genie spaces and AI/BI dashboards for business consumption
Experience building, deploying, and optimizing AI agents, with the ability to use AI coding agents efficiently to accelerate development
Ability to understand business requirements, engage confidently with stakeholders, and translate those requirements into reliable data products
Strong communication and collaboration skills across both technical and non-technical audiences
Opportunity to work with some of the smartest minds to solve complex challenges at scale.
Impactful role in shaping and securing a global, cloud-native & AI driven platform.
Innovative, collaborative, and fast-paced culture.
Current Tekion Employees – Please apply via Greenhouse Internal Job Board
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.
Skills Required
- 4 to 6 years of experience in data engineering or a closely related discipline
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- Hands-on experience building and operating data pipelines on Databricks or equivalent AI-first data platform
- Proficiency in Python
- Proficiency in SQL
- Experience with dbt
- Experience with Databricks Delta Live Tables (DLT)
- Experience designing and implementing data quality frameworks (schema validation, null/duplicate checks, referential integrity, business rule assertions)
- Demonstrated ability to build end-to-end reconcilable pipelines (row counts, aggregates, key metric validation)
- Experience with relational and/or NoSQL databases and REST APIs
- Strong understanding of lakehouse architecture, data modeling, testing practices, and CI/CD for data workflows
- Ability to build and optimize Databricks Genie spaces and AI/BI dashboards (Tableau or Databricks BI)
- Experience building, deploying, and optimizing AI agents and using AI coding assistants
- Strong communication and collaboration skills to engage with technical and non-technical stakeholders
Tekion Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tekion and has not been reviewed or approved by Tekion.
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Healthcare Strength — Healthcare coverage includes 100% employer-paid medical, dental, and vision for many U.S. roles, often extending to families. Additional options like HSA/FSA and pet insurance are cited as part of a robust health offering.
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Fair & Transparent Compensation — Pay is considered competitive overall, with total rewards (pay, stock, equity, and benefits) frequently viewed favorably. Many accounts characterize compensation as strong alongside comprehensive benefits.
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Wellbeing & Lifestyle Benefits — Perks such as free meals/snacks, wellness resources, and on-site amenities are highlighted. Flexible or remote options are available for some roles, adding convenience and flexibility.
Tekion Insights
What We Do
At Tekion, we believe that business applications don’t have to be boring. In fact, they should be simple, fun and cool! They should be as delightful to use as your favorite social or consumer application, yet powerful enough to seamlessly and efficiently run global businesses that provide unparalleled consumer experience without compromise. Founded by visionary entrepreneur and innovator Jay Vijayan, we are building the world’s best business applications on the cloud starting with the automotive retail industry. We inherently use cutting-edge technologies like big data, machine learning/AI, and human computer interaction (voice, touch, vision, sensors and IoT). We are inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it! Our flagship product offering, Automotive Retail Cloud ™- an industry-first cloud-native retail platform, including all functionalities of a Dealer Management System (DMS) launched recently.
