Senior Manager Software Engineering

Job Summary

Overview About Business Unit: The Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry - from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600-member multinational team, the practice provides the automotive world s largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and maintains relationships with over 280 million customers. Home to innovation and ground breaking technology, our Auto team leads the game in developing outstanding software and solutions for hyper-personalized digital marketing. As a Senior Engineering Manager at Epsilon, you will lead high-performing engineering teams to design, build, and run Big data platforms. You will play a critical role in shaping architecture, platform strategy, and AI-driven innovation, while ensuring alignment with Epsilon s global technology vision.

Responsibilities

• This role requires a blend of hands-on technical depth, architectural leadership, and people management, with strong ownership across the full software lifecycle.
• Take full ownership of solutions from conception to delivery and support.
• Lead, mentor, and develop a multidisciplinary engineering team.
• Architect and guide technical decisions for enterprise platforms and integrations.
• Foster modern engineering practices with agile delivery, DevOps, and CI/CD.
• Define integration strategies and oversee development of custom solutions enabling seamless data exchange and real-time processing.
• Promote innovation, automation, and adoption of cloud and integration best practices.
• Drive engineering culture focused on ownership, quality, and continuous improvement.
• Champion talent development aligned with Epsilon s core principles.
• Collaborate with global technology, architecture, and business leaders.

Qualifications

• 15+ years in software engineering, including 4+ years in engineering management or technical leadership.
• Experience in Data engineering with proven track record of impact.
• Strong expertise in Big Data ecosystems (Apache Spark, Hadoop, Delta Lake, Hudi, Kafka, Qlik ).
• Strong in database technologies such as PostgresSQL, MySQL, MSSQLServer
• Proficiency in SQL, Python/Scala for data processing.
• Hands-on experience with cloud platforms (AWS preferred) - EMR, Glue, S3, Lambda, etc.
• Experience with data modeling, warehousing, and distributed systems.
• Strong knowledge of enterprise DWH systems for reporting and analytics (e.g., schema design, query optimization, BI integration).
• Deep understanding of scalability, performance optimization, and fault tolerance.
• Strong problem-solving, debugging, and system design skills.
• Experience with Redshift or other modern data warehouse platforms (e.g., Snowflake, Databricks, BigQuery).
• Exposure to Greenplum or other MPP (Massively Parallel Processing) databases.
• Exposure to AI/ML data pipelines or advanced analytics platforms.
• Experience with CI/CD, Terraform, Kubernetes, Docker in data environments.
• Knowledge of data governance, security, and compliance practices.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.