Overview

About Catalyst Brands:
Catalyst Brands is a leading U.S.-based retail organization formed in 2025 through the merger of JCPenney and SPARC Group, combining multiple iconic fashion brands under one umbrella. The company manages a diversified portfolio of well-known brands including Aéropostale, Brooks Brothers, Nautica, Lucky Brand, and JCPenney. Headquartered in Plano, Texas, Catalyst Brands focuses on delivering up-to-date retail experiences while leveraging the heritage of established global brands. With a workforce of over tens of thousands and multi-billion-dollar revenue, the organization operates at a large scale across retail, e-commerce, and supply chain domains. The company emphasizes innovation, digital transformation, and customer-centric strategies to enhance brand value and consumer engagement. Catalyst Brands is expanding its global presence, including a growing capability centre in India that supports technology, digital operations, and analytics. It aims to drive operational excellence and business growth by integrating technology, data-driven insights, and efficient retail practices.

Lead Engineer, Technology | Data & Analytics

We’re looking for a Lead Engineer to own the design and evolution of our contemporary data platform at Catalyst Brands, powering data-driven decisions across our portfolio of retail and consumer brands. You’ll lead complex, high-impact data initiatives using AWS, Snowflake/Redshift, Spark, and modern orchestration and governance tools to build scalable, reliable, and trusted data products. This role blends hands-on technical expertise with architecture ownership and cross-functional leadership, partnering closely with product, analytics, and business stakeholders to unlock new insights, optimize performance, and enable the next generation of data and analytics solutions.

Primary Responsibilities:

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Lead the design and delivery of scalable, secure, and reliable data pipelines and platforms.
- Define and enforce data engineering standards, best practices,



and architecture patterns.
- Partner with business, product, analytics, and data science teams to translate requirements into technical solutions.
- Drive performance, scalability, and cost optimization across data infrastructure.
- Establish data governance, quality, security, and compliance practices.
- Own code quality through mandatory design and code reviews.
- Lead cross-functional data initiatives and provide technical direction across teams.
- Mentor and coach data engineers, fostering a culture of engineering excellence and continuous improvement.

Basic Qualifications

- Bachelor’s degree in computer science, engineering or related field with 8+ years of data engineering experience.
- Strong programming skills in Python and/or PySpark.
- Experience with cloud data warehouses like Snowflake and Redshift.
- Strong knowledge of AWS services, including S3, EC2, EMR, Glue, Athena, Lambda, and CloudWatch.
- Expertise in Apache Spark or similar distributed data processing engines.
- Experience with following tools Apache Airflow, DBT, GitLab, CI/CD pipelines, Docker, and Kubernetes.
- Strong SQL and data modeling experience.
- Experience mentoring engineers and influencing technical direction across multiple teams.
- Excellent communication skills with the ability to translate business requirements into complex technical solutions.

Preferred Qualifications

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Master’s degree in computer science, Engineering, Data Science, or a related field.
- Experience in a lead/architect role within data engineering teams.
- Knowledge of data streaming services like Apache Kafka.
- Experience with Data Governance tools like Great Expectations and DataHub.
- Experience implementing and scaling data governance frameworks, including metadata management and data cataloging.
- Experience in high-volume retail, e-commerce, or consumer-facing environments.
- Familiarity with cost optimization techniques for cloud data platforms.
- Familiarity of impleting AI based solutions within Data and Analytics platforms.

Pay Range

INR ₹0.00 - INR ₹0.00 /Yr.

📌 Lead Engineer (Bengaluru)
🏢 JCPenney
📍 Bengaluru