About Tekion:
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 3000 people across North America Asia and Europe.
Job Description
Were seeking a hands-on Senior Data Architectto design and modernize scalable AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS PySpark and Python and experience migrating legacy Java-based scripts to Spark frameworkswhile ensuring data quality scalability and performance.
Key Responsibilities
Design and implement data architecture and pipelinesusing PySpark Python and AWSservices (Glue EMR S3 Redshift Athena).
Modernize legacy systemsby converting Java-based migration or ETL scriptsinto Spark-based solutions.
Build and manage data lakesand data warehousesoptimized for analytics and AI/ML workflows.
Collaborate with data scientists and analyststo enable model training deployment and continuous data delivery.
Define and document HLD(High-Level Design) and LLD(Low-Level Design) for scalable data systems.
Implement standards for data quality governance performance optimization and security.
Lead troubleshooting performance tuning and architecture reviews for data pipelines.
Skills and Experience
15 years of experience in data engineering or architecture with strong hands-on development background.
Expert-level proficiency in PySpark Python and SQLfor data processing and transformation.
Strong understanding of AWSdata ecosystem including Glue EMR S3 Redshift and Lambda.
Proven experience migrating or re-engineering Java-based ETL systemsinto modern Spark environments.
Solid foundation in data lake data warehouse and cloud-native architecture design.
Experience supporting AI/ML data pipelinesand integrating data platforms with ML workflows.
Strong documentation skills (HLD LLD) and ability to communicate architecture clearly to technical and business stakeholders.
Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
Experience with GIT Jenkins & AWS
Expertise in performance optimization and cost management for cloud environments
Ability to manage multiple projects and priorities in a fast-paced environment
AWS Professional level certifications (e.g. Solutions Architect Professional DevOps Engineer Professional
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.
Required Experience:
Senior IC
About Tekion: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...
About Tekion:
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 3000 people across North America Asia and Europe.
Job Description
Were seeking a hands-on Senior Data Architectto design and modernize scalable AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS PySpark and Python and experience migrating legacy Java-based scripts to Spark frameworkswhile ensuring data quality scalability and performance.
Key Responsibilities
Design and implement data architecture and pipelinesusing PySpark Python and AWSservices (Glue EMR S3 Redshift Athena).
Modernize legacy systemsby converting Java-based migration or ETL scriptsinto Spark-based solutions.
Build and manage data lakesand data warehousesoptimized for analytics and AI/ML workflows.
Collaborate with data scientists and analyststo enable model training deployment and continuous data delivery.
Define and document HLD(High-Level Design) and LLD(Low-Level Design) for scalable data systems.
Implement standards for data quality governance performance optimization and security.
Lead troubleshooting performance tuning and architecture reviews for data pipelines.
Skills and Experience
15 years of experience in data engineering or architecture with strong hands-on development background.
Expert-level proficiency in PySpark Python and SQLfor data processing and transformation.
Strong understanding of AWSdata ecosystem including Glue EMR S3 Redshift and Lambda.
Proven experience migrating or re-engineering Java-based ETL systemsinto modern Spark environments.
Solid foundation in data lake data warehouse and cloud-native architecture design.
Experience supporting AI/ML data pipelinesand integrating data platforms with ML workflows.
Strong documentation skills (HLD LLD) and ability to communicate architecture clearly to technical and business stakeholders.
Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
Experience with GIT Jenkins & AWS
Expertise in performance optimization and cost management for cloud environments
Ability to manage multiple projects and priorities in a fast-paced environment
AWS Professional level certifications (e.g. Solutions Architect Professional DevOps Engineer Professional
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.
Required Experience:
Senior IC
View more
View less