We are looking for someone to lead our Data Engineering team at ASICS Digital. In this role you will lead a team that is delivering the data platform for a beloved fitness brand. In this role you will lead the technical roadmap, execution, and decision making on technologies and patterns for our data engineering team.  

You will work closely across engineering, analytics, product, and global business stakeholders to shape the way that ASICS delivers its data platform and how the organization can derive insights and provide a personalized experience for our customers. 

You will build high trust relationships with your team as you support their career development, the technical vision, and execution of the team.

We expect you to have strong technical skills in data engineering and to have worked on a variety of platforms, technologies and frameworks. The ideal new team member is someone that enjoys getting into the technical details with the team and is passionate about technology, data engineering, and influencing the direction of the team. 

Bring your passion, experience, and insights to this role and help shape a beloved running brand. ASICS Digital is a division of ASICS based in Boston, Massachusetts. Our goal is to build digital technologies to better connect the ASICS brand to its consumers. We are responsible for the continued development of the ASICS global eCommerce platforms, and supporting digital services that encourage people to move, get fit and stay balanced. 

Responsibilities: 

· Write and maintain data pipelines using Python and SQL to ingest data from a variety of batch and streaming data sources 

· Deploy and monitor data infrastructure in the cloud using Terraform and AWS 

· Mentor and grow the careers of engineers on the team 

· Lead architecture conversations and determining roadmap 

· Contribute to code reviews and encourage programming best practices in Python 

· Collaborate cross-functionally with analytics and product teams to develop solutions to enhance the  experience of the ASICS consumer 

Requirements: 

· 3+ years data engineering, 1+ years experience as a team lead or manager 

· Strong in system architecture, writing clean and well-tested code, data governance, requirements gathering, problem solving 

· Experience with Python, knowledge of best practices, setting up virtual environments, writing tests 

· Experience managing cloud data warehouses (Snowflake, Redshift, BigQuery), designing data models, data pipelines, and tuning and optimizing queries 

· Experience with AWS technologies including S3, Lambda, CloudWatch, Kinesis, ECS 

· Experience with infrastructure-as-code (Terraform, CloudFormation) and CI/CD (CircleCI, Jenkins) 

· Bonus: experience managing and deploying orchestration tools like Airflow and dbt 

Become a part of the ADI community:

ADI is taking active steps towards becoming a diverse, equitable, and inclusive workplace. We aim to engage in D&I work that permeates our organization and all employees are expected to be actively involved.

-ADI is a strong, global community where we collaborate and care for each other.

-We value a diversity of opinion, everyone’s input, and increasing the number of voices at the table.

-You’ll have the opportunity to join the D&I task force, participate in affinity spaces, learn and grow on your anti-racist journey. We all need to know what anti-racist is so that everyone can talk about what it actually means. 

-We center our employees as full people. We don’t just accept difference, we celebrate it, support it, and thrive on it for the benefit of our employees, our products, and our community.

Equal Opportunity Employer Description:

At ADI, we don’t just accept diversity— we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. ASICS Digital is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or fitness level.