The Architecture Team plays a pivotal role in the end-to-end design, governance, and strategic direction of product development within Epsilon People Cloud (EPC). As a centre of technical excellence, the team ensures that every product feature is engineered to meet the highest standards of scalability, security, performance, and maintainability. Their responsibilities span across architectural ownership of critical product features, driving techno-product leadership, enforcing architectural governance, and ensuring systems are built with scalability, security, and compliance in mind. They design multi cloud and hybrid cloud solutions that support seamless integration across diverse environments and contribute significantly to interoperability between EPC products and the broader enterprise ecosystem. The team fosters innovation and technical leadership while actively collaborating with key partners to align technology decisions with business goals. Through this, the Architecture Team ensures the delivery of future-ready, enterprise-grade, efficient and performant, secure and resilient platforms that form the backbone of Epsilon People Cloud.

Why we are Looking for You ?

At Epsilon, we run on our peoples ideas. Its how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for dedicated individuals who always set the standard by constantly challenging themselves and are experts in building customized solutions in the digital marketing space.

What you will enjoy in this Role ?

So, are you someone who wants to work with innovative technology and enable marketers to create data-driven, omnichannel consumer experiences through data platforms? Then you could be exactly who we are looking for.

Apply today and be part of a creative, innovative, and dedicated team thats not afraid to push boundaries or take risks.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibility :

We seek Software Engineers with experience building and scaling services in on-premises and cloud environments.

As a Lead Software Engineer in the Epsilon Attribution/Forecasting Product Development team, you will design, implement, and optimize data processing solutions using Scala, Spark, and Hadoop. Collaborate with cross-functional teams to deploy big data solutions on our on-premises and cloud infrastructure along with building, scheduling and maintaining workflows. Perform data integration and transformation, solve issues, Document processes, communicate technical concepts clearly, and continuously enhance our attribution engine/forecasting engine.

Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones. Good understanding of Agile Methodologies SCRUM.

Qualification :

- Strong experience (9 - 12 years) in Python or Scala programming language and extensive experience with Apache Spark for Big Data processing for design, developing and maintaining scalable on-prem and cloud environments, especially on AWS and as needed with GCP cloud.

- Proficiency in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency in Big Data environments.

- In-depth understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce.

- Expertise in designing and implementing scalable, fault-tolerant data pipelines with end-to-end monitoring and alerting.

- Using Python to develop infrastructure modules. Hence, hands-on experience with Python.

- Solid grasp of database systems and SQLs for writing efficient SQLs (RDBMS/Warehouse) to handle TBS of data.

- Familiarity with design patterns and best practices for efficient data modelling, partitioning strategies, and sharding for distributed systems and experience in building, scheduling and maintaining DAG workflows.

- End-to-end ownership with definition, development, and documentation of softwares objectives, business requirements, deliverables, and specifications in collaboration with stakeholders.

- Experience in working on GIT (or equivalent source control) and solid understanding of Unit and integration test frameworks.

- Must have the ability to collaborate with stakeholders/teams to understand requirements and develop a working solution and the ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment.

- Must be able to mentor junior staff.

Advantageous to have experience on below :

- Hands-on with Databricks for unified data analytics, including Databricks Notebooks, Delta Lake, and Catalogues.

- Proficiency in using the ELK (Elasticsearch, Logstash, Kibana) stack for real-time search, log

analysis, and visualization.

- Strong background in analytics, including the ability to derive actionable insights from large

datasets and support data-driven decision-making.

- Experience with data visualization tools like Tableau, Power BI, or Grafana.

- Familiarity with Docker for containerization and Kubernetes for orchestration.