Overview
About Catalyst Brands:
Catalyst Brands is a leading U.S. retail company formed through the merger of JCPenney and SPARC Group. We bring together iconic names such as Aéropostale, Brooks Brothers, Lucky Brand, Nautica, and JCPenney under one powerful platform. With nearly 1,800 stores, a strong e-commerce presence, and a customer base of over 60 million, we are redefining modern retail through scale, innovation, and heritage. Backed by industry leaders, Catalyst Brands offers a dynamic environment where talent can thrive and help shape the future of fashion and retail.
Lead Platform Engineer
We are looking for a Lead Platform Engineer to drive the design, automation, and reliability of our modern data and analytics platform at Catalyst Brands. This role will focus on building and managing scalable, secure, and high-performing infrastructure across MicroStrategy, Snowflake, AWS, Airflow, and Tableau environments.
You will work at the intersection of platform engineering and data operations, enabling seamless deployment, monitoring, and governance of data and analytics solutions. This role combines hands-on platform engineering expertise with platform ownership and cross-functional collaboration, partnering with data engineering, analytics, and business teams to deliver resilient and efficient systems.
Primary Responsibilities
- Design, implement, and manage cloud infrastructure and platform services across MicroStrategy, Snowflake, AWS, Airflow, and Tableau.
- Build and maintain CI/CD pipelines for data and analytics applications, ensuring reliable and automated deployments.
- Manage infrastructure as code (IaC) using tools such as Terraform or CloudFormation.
- Ensure platform reliability through monitoring, alerting, logging, and incident response practices.
- Optimize performance, scalability, and cost across cloud environments and analytics platforms.
- Implement security best practices, including identity management, data protection, and compliance controls.
- Collaborate with data engineering and analytics teams to enable efficient data workflows and platform usage.
- Automate operational processes to improve efficiency and reduce manual intervention.
- Support environment provisioning, configuration management, and release management processes.
- Contribute to platform governance, including access controls, auditability, and operational standards.
- Provide technical leadership, set platform standards, and mentor engineers contributing to the analytics platform.
- Participate in on-call rotations and lead incident response for platform-related outages.
Basic Qualifications
- Bachelor's degree in computer science, engineering, or related field with 5+ years of platform or platform engineering experience.
- Strong experience with Snowflake, MicroStrategy and Tableau platform administrative management & support.
- Strong experience with AWS services such as EC2, S3, Lambda, RDS, CloudWatch, IAM, and VPC.
- Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or similar.
- Experience with infrastructure as code (Terraform, CloudFormation).
- Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Understanding of networking, security, and cloud architecture principles.
- Strong troubleshooting and problem-solving skills.
- Excellent communication skills with the ability to work cross-functionally.
Preferred Qualifications
- Experience with data platform ecosystems and integration with data warehouses like Snowflake.
- Familiarity with data pipeline orchestration tools such as Apache Airflow.
- Experience implementing Platform practices for BI and analytics tools, especially MicroStrategy and Tableau.
- Knowledge of Datameer platform administration, optimization, and troubleshooting.
- Experience with secrets management tools (AWS Secrets Manager, Hashi Corp Vault).
- Experience implementing security and compliance frameworks in cloud environments.
- Familiarity with cost optimization strategies for cloud infrastructure.
- Experience working in retail, e-commerce, or consumer-facing environments.
- Exposure to AI/ML platform deployment and MLOps practices.
Pay Range
INR ₹0.00 - INR ₹0.00 /Yr.
