Senior Data Engineer, Global Converse, ITC

Position Type

Full Time

Career area

Data

Location

4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India

Job ID

R\-96715*

Become part of the Converse Team

Converse is a place to explore potential, break barriers and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Converse, it’s about each person bringing skills and passion to a challenging and constantly evolving world to make things better as a team.

• *WHO YOU’LL WORK WITH**

This role typically reports to a Senior Manager, Data Engineering within Global Converse at the India Technology Center (ITC). You will partner with Supply Chain \& Logistics, Product, Engineering, Data Platform, Planning, Merchandising, Finance, and business teams to deliver trusted data products, scalable analytics, and decision\-ready insights.

• *WHO WE ARE LOOKING FOR**

We are looking for a hands\-on Senior Data Engineer who combines strong data engineering capabilities with practical analytics and business intelligence experience. You will design reliable data pipelines and curated datasets using Snowflake or Databricks, apply strong SQL and data modeling skills, and enable decision\-ready reporting through Tableau or Sigma. Experience supporting Supply Chain or Logistics is preferred, as this role will translate operational questions across inventory, order flow, fulfillment, transportation, and delivery performance into trusted data solutions. You should be comfortable working across the full data lifecycle, from understanding business requirements and designing scalable models to production support, performance optimization, data quality, and analytics adoption. The ideal candidate communicates clearly, collaborates across global teams, and takes ownership from problem definition through delivery and continuous improvement.

• 6\-8 years of relevant experience in data engineering, analytics engineering, business intelligence, data analytics, or related roles.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or an equivalent combination of education, experience, and training.
• Strong SQL skills and hands\-on data engineering experience with Snowflake or Databricks; experience with both is preferred.
• Experience using Tableau or Sigma to deliver dashboards, governed KPIs, semantic models, and self\-service analytics.
• Preferred: experience delivering data or analytics solutions for Supply Chain, Logistics, inventory, order management, fulfillment, transportation, or related retail operations.

• *WHAT YOU’LL WORK ON**

You will build and support scalable data products that help Supply Chain \& Logistics and other enterprise partners make faster, better\-informed decisions. You will combine data engineering, analytical modeling, and BI skills to turn business questions into reliable, production\-ready datasets and analytics solutions.

• Partner with Supply Chain \& Logistics stakeholders to understand operational questions, define measures, and translate requirements into scalable data solutions.
• Build, test, deploy, and maintain data pipelines, transformations, and curated analytical datasets using SQL, Snowflake, Databricks, Python, Spark, or related technologies.
• Design reusable dimensional data models and semantic layers that improve consistency, quality, discoverability, and trust across reporting and analytics.
• Develop and evolve Tableau or Sigma dashboards, KPI frameworks, and self\-service analytics products that enable users to monitor performance, investigate drivers, and take action.
• Analyze and enable insights across demand, inventory, order fulfillment, transportation, delivery performance, and related operational measures.
• Collaborate with Product Managers, Engineers, Platform teams, and business partners through design reviews, testing, release, adoption, and production support.
• Improve engineering quality through automated testing, code reviews, documentation, performance tuning, observability, and reliable DevOps practices.

Converse is more than a company; it’s a worldwide advocate for self\-expression. This belief motivates our employees, permeates our working environment and inspires our products. No two of us look or think exactly alike. We are each one\-of\-a\-kind. Individually and as a culture, we have the freedom to create and grow professionally. Generous benefits packages only sweeten the experience. From Boston to Shanghai, from Brand Design to Finance, Converse is a brand that celebrates the unique and creative people of the world. Together, we’re different.

What You Can Expect

• *OUR HIRING GAME PLAN**
• -----------------------

### **01 Apply**

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

### **02 Meet a Recruiter or Take an Assessment**

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10\-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world\-class service and what makes you unique.

### **03 Interview**

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.