CDP - Lead Data Engineer

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 3,000 people across North America, Asia and Europe.

Job Introduction:

The Lead Data Engineer provides technical leadership in the design, development, and optimization of scalable data pipelines and architecture. This role leads data engineering projects, mentors team members, and collaborates across functions to deliver high-impact data solutions that enable analytics, automation, and product innovation.

Key Roles & Responsibilities:

• Leads the design and development of advanced ETL/ELT pipelines and cloud-native data platforms.

• Collaborates with stakeholders to gather requirements and translate them into scalable, reliable data solutions.

• Establishes standards for data quality, validation, monitoring, and pipeline resilience.

• Mentors data engineers, conducts code reviews, and shares best practices across teams.

• Drives improvements in data architecture, tooling, and automation to support analytics and product features.

• Partners with product, analytics, and engineering teams to align data engineering efforts with business priorities.

• Evaluates and integrates new technologies, frameworks, and processes to improve scalability and performance.

Basic Qualifications:

• 8+ years of experience in data engineering, platform development, or distributed systems

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

• Advanced proficiency in SQL, Python, and data orchestration tools (e.g., Airflow, dbt)

• Proven experience leading technical teams or complex engineering projects

• Strong experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and DevOps practices

• Excellent leadership, communication, and problem-solving skills

Perks & Benefits

• 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.