Edgewell Personal Care Brands offers a collaborative, high-performing environment with comprehensive benefits and a clear path for growth. This hybrid role in Shelton, CT combines competitive compensation with work-life balance, featuring a salary of USD 112,000 to 168,000 per year. A Bachelor’s degree is required, and they seek candidates with 6+ years of experience to lead the design and scaling of cloud-based data infrastructure that enables insights, analytics, and informed decision-making across Edgewell’s brands.
Benefits
- Medical, dental & vision coverage
- 401(k)
- Life, accident, and disability insurance
- Wellness programs
- Bonus
- Long-term incentive
Team and culture
The EPC Insights and Analytics team is a high‑performing, collaborative group that brings the voice of the consumer, shopper and customer into the business to drive tangible impact. The team develops cutting‑edge data, analytics and AI tools to create a meaningful competitive advantage, while maintaining a supportive atmosphere that amplifies individual strengths and curiosity. Edgewell values a diverse range of talents, experiences, and backgrounds to enrich the team culture.
Our values center on putting people first, moving forward through innovation and decisive action, listening up and speaking up with open dialogue, and owning outcomes together through collaboration and accountability.
Role highlights
- Lead and own the design, development, and optimization of scalable cloud-based data pipelines and architectures (AWS, Azure, or GCP) to support enterprise analytics, reporting, and data science initiatives
- Build and manage a modern data platform with lakehouse architecture using Snowflake, Databricks, Redshift, or BigQuery to enable high‑performance analytics
- Collaborate with IT and Architecture teams to align cloud strategy, data infrastructure, and enterprise technology roadmaps
- Integrate and manage diverse data sources including retailer POS, syndicated data (Nielsen/Circana), e-commerce, ERP systems, and retail media platforms (AMC, Walmart Luminate, Kroger Precision Marketing)
- Develop and optimize pipelines for ingesting and transforming retail media, digital advertising, and campaign performance data (Amazon Ads, DSP, paid search, social platforms)
- Develop scalable data models, APIs, and curated datasets to support self-service analytics and BI tools (Power BI)
- Ensure data quality, governance, security, and privacy compliance with monitoring, metadata management, and lineage tracking
- Evolve data engineering capabilities with real-time/streaming pipelines (Kafka, Spark Streaming), automation frameworks, and AI-ready data infrastructure
Qualifications
- Bachelor’s degree required; advanced degree preferred
- 6–8+ years of experience in Data Engineering, Data Platforms, or a related field
- Experience designing and building cloud-native data pipelines and architectures (ETL/ELT)
- Strong proficiency in SQL and Python (or similar languages such as Scala or Java)
- Hands-on experience with AWS, Azure, or GCP and modern data stack tools including Snowflake, Databricks, Airflow, dbt, Fivetran, or similar
- Experience with API-based data ingestion and integration frameworks for digital media and retail platforms
- Ability to transform complex, high-volume data into clean, scalable datasets
- Experience implementing data governance, quality frameworks, and observability tools
- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business language
- Familiarity with CPG and omnichannel data ecosystems, including retailer POS, syndicated data, and digital commerce data sources
- Hands-on experience with retail media and advertising data platforms such as AMC, Amazon Ads/DSP, Walmart Luminate, Kroger Precision Marketing, or CitrusAd
- Experience enabling MMM, retail media measurement, or marketing analytics use cases
- Knowledge of data modeling techniques for marketing, media, and commercial analytics
- Experience with real-time or streaming data pipelines (Kafka, Spark, or similar)
Technologies
- SQL
- Python
- Scala
- Java
- AWS
- Azure
- GCP
- Snowflake
- Databricks
- Redshift
- BigQuery
- Airflow
- dbt
- Fivetran
- Power BI
- Kafka
- Spark Streaming
- Amazon Marketing Cloud
- Amazon Ads
- DSP
- Walmart Luminate
- Kroger Precision Marketing
- CitrusAd
- Google Ads
- Meta
- TikTok
Work environment
This is a hybrid role requiring regular presence in the Shelton, CT corporate office and/or the New York, NY office three days per week. Occasional travel may be required for key business meetings or enterprise collaboration.
