Senior Manager Software Engineering

Overview About Business Unit: The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops and builds products that position Epsilon as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilon’s success story. Senior Manager Software Engineering who leads a high-performing engineering organization building scalable, data-intensive platforms in the digital marketing and attribution space. Combines people leadership, delivery ownership, and architectural influence with deep hands-on credibility in big data, batch processing, and cloud-native distributed systems. Ideal for a leader who coaches engineers, owns predictable delivery, partners with product and platform leaders, and still shapes technical direction for attribution, forecasting, and batching pipelines at scale. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Lead, mentor, and grow a team of data-platform engineers delivering critical platform capabilities Own execution, delivery predictability, and technical quality for the team Drive architectural decisions and engineering best practices for the data-processing systems Partner with product managers to define roadmaps and translate business goals into technical plans Foster a culture of ownership, accountability, and continuous improvement Provide regular feedback, coaching, and career development guidance Ensure systems meet standards for scalability, performance, security, and reliability Improve engineering processes, CI/CD maturity, and operational excellence What You'll Achieve: Build and sustain a high-performing, engaged engineering team Deliver scalable, reliable platforms that support growing data and traffic demands Improve system observability, stability, and operational maturity Set a higher standard on engineering quality and execution across teams Qualifications Management Qualifications: 10+ years of software engineering experience 3–4+ years managing and leading engineering teams Strong system design, communication, and stakeholder management skills Experience defining and tracking engineering metrics (delivery, quality, reliability) Ability to mentor junior and mid-level engineers and develop future technical leaders Technical Depth: Domain & Product Focus Attribution product development Design, implement, and optimize data processing and batching solutions at scale Build, schedule, and maintain DAG workflows and attribution/forecasting engines End-to-end ownership: requirements definition, development, documentation, and stakeholder collaboration Core Technical Stack: Area: Technologies & Skills Big Data: Scala, Apache Spark, Hadoop (HDFS, YARN, MapReduce) Languages: Scala (primary), Python (infrastructure modules) Cloud: AWS (primary), GCP as needed; cloud-native distributed systems Data: SQL at TB scale, RDBMS/warehouse, Performance Optimization, Operability Workflows: DAG scheduling, batch pipeline orchestration DevOps: Docker, Kubernetes, CI/CD pipelines, Git Testing: Unit and integration test frameworks Nice to Have / Advantageous Databricks — Notebooks, Delta Lake, Catalogues Observability & analytics — Tableau, Power BI, Grafana Event-driven / streaming architectures Experience in ad-tech / martech and large-scale data platforms Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.

Management Qualifications: 10+ years of software engineering experience 3–4+ years managing and leading engineering teams Strong system design, communication, and stakeholder management skills Experience defining and tracking engineering metrics (delivery, quality, reliability) Ability to mentor junior and mid-level engineers and develop future technical leaders Technical Depth: Domain & Product Focus Attribution product development Design, implement, and optimize data processing and batching solutions at scale Build, schedule, and maintain DAG workflows and attribution/forecasting engines End-to-end ownership: requirements definition, development, documentation, and stakeholder collaboration Core Technical Stack: Area: Technologies & Skills Big Data: Scala, Apache Spark, Hadoop (HDFS, YARN, MapReduce) Languages: Scala (primary), Python (infrastructure modules) Cloud: AWS (primary), GCP as needed; cloud-native distributed systems Data: SQL at TB scale, RDBMS/warehouse, Performance Optimization, Operability Workflows: DAG scheduling, batch pipeline orchestration DevOps: Docker, Kubernetes, CI/CD pipelines, Git Testing: Unit and integration test frameworks Nice to Have / Advantageous Databricks — Notebooks, Delta Lake, Catalogues Observability & analytics — Tableau, Power BI, Grafana Event-driven / streaming architectures Experience in ad-tech / martech and large-scale data platforms

Lead, mentor, and grow a team of data-platform engineers delivering critical platform capabilities Own execution, delivery predictability, and technical quality for the team Drive architectural decisions and engineering best practices for the data-processing systems Partner with product managers to define roadmaps and translate business goals into technical plans Foster a culture of ownership, accountability, and continuous improvement Provide regular feedback, coaching, and career development guidance Ensure systems meet standards for scalability, performance, security, and reliability Improve engineering processes, CI/CD maturity, and operational excellence What You'll Achieve: Build and sustain a high-performing, engaged engineering team Deliver scalable, reliable platforms that support growing data and traffic demands Improve system observability, stability, and operational maturity Set a higher standard on engineering quality and execution across teams