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
As the Lead Data Engineer at Converse, you will play a pivotal role in shaping our Data & Analytics strategy from a product perspective. You will work closely with cross-functional teams, ensuring our data solutions align with business needs and drive measurable impact. Your expertise in data infrastructure, governance, and analytics will be critical in enabling scalable, reliable, and high-performance data capabilities. This is an exciting opportunity to lead the evolution of Converse’s data ecosystem, ensuring our data-driven culture continues to thrive.
WHO WE ARE LOOKING FOR
We are looking for an experienced Lead Data Engineer who excels at both technical execution and strategic thinking. You will own the Data & Analytics product roadmap, ensuring that our data ecosystem is optimized for business intelligence, analytics, and decision-making. You thrive in a collaborative, fast-paced environment, have a strong business acumen, and can translate complex data concepts into actionable insights. The successful candidate will have:
Proven experience in a data management or engineering role.
Experience owning Data & Analytics from a product perspective.
Expertise in data modeling, data warehouse design, and data analysis.
Hands-on experience with Databricks and Matillion ETL (preferred).
Strong proficiency in AWS cloud services.
Experience with version control and collaboration tools, specifically GitHub.
Strong stakeholder management and communication skills.
Demonstrated ability in root cause analysis and troubleshooting.
Excellent business domain knowledge, enabling data-driven decision-making.
Degree in Computer Science, Information Systems, or a related field.
Strong leadership qualities with a passion for mentorship and team development.
WHAT YOU’LL WORK ON
As a Lead Data Engineer, you will be responsible for both strategic data initiatives and technical execution, ensuring our data infrastructure supports business needs effectively. Key Responsibilities include:
Product Ownership:
Own Data & Analytics from a product perspective, ensuring alignment with business objectives.
Partner with product managers to translate business needs into scalable data solutions.
Define and drive the data product roadmap, prioritizing key features and improvements.
Business Domain Knowledge:
Apply strong business acumen to ensure data solutions are contextually relevant and impactful.
Stay ahead of industry trends and business challenges to refine data strategy.
Identify opportunities to leverage data for business growth and efficiency.
Design & Development:
Develop and maintain robust data models, warehouses, and pipelines.
Utilize Databricks for advanced big data processing and analytics.
Implement and optimize ETL processes using Matillion ETL and other relevant tools.
Collaboration & Communication:
Work closely with business stakeholders to understand data requirements and deliver actionable insights.
Communicate complex data concepts effectively to both technical and non-technical audiences.
Governance & Best Practices:
Define and enforce data governance policies and best practices.
Drive initiatives to enhance data processes, automation, and workflows.
Ensure efficient version control and collaboration using GitHub.
Mentorship & Leadership:
Mentor junior team members, fostering a culture of continuous learning and innovation.
Demonstrate thought leadership, driving data strategy and best practices across the organization.
HOW WE HIRE
1. 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.
2. 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.
3. 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.
